The coronavirus disease 2019 (COVID-19) pandemic has created an urgent
global demand for ventilators, respirators and various resuscitation devices.
Various research and development organizations, private companies and
individual engineers have collaborated and carried out the development of
low-cost ventilation prototypes. In turn, doctors and nurses are collapsed due
to the exponential increase in COVID-19 cases. This scenario worsens more
when the tasks are manual in nature. The article`s objective to describe the
electronic system designed, developed and implemented in a functional
prototype of an automatic ventilator in order to be evaluated by a team of
health professionals to be later used in cases of health emergencies. This
system automates the manual ventilation task aided by a few medical resources in a scenario of scarce resources and is a temporary solution when
a respirator is not available.
Dual Mode Ventilator Integrated with Patient Monitoring SystemIRJET Journal
This document describes a dual mode ventilator integrated with a patient monitoring system that was designed by a group of students. The ventilator can operate in both adult and pediatric modes and monitors vital patient parameters like ECG, oxygen saturation, temperature, and pulse using integrated sensors. All sensor data is processed by a microcontroller and displayed on an LCD screen. It can also transmit this data to concerned individuals via an IoT platform and mobile app for remote monitoring. The goal is to create an efficient and low-cost portable ventilator for COVID-19 patients that provides ventilation and integrated monitoring of multiple patients simultaneously.
IoT Based Smart Ventilator & Patient Monitoring SystemIRJET Journal
This document describes an IoT-based smart ventilator and patient monitoring system. The system has two parts - an IoT ventilator that uses a servo motor to pump air into an Ambu bag to ventilate patients, and a patient monitoring system that measures vital signs like temperature, blood oxygen levels, and heart rate. Both systems connect to the internet using ESP8266 and send data to a website where doctors can monitor patients. The integrated system provides low-cost ventilation and health monitoring, especially important during the COVID-19 pandemic. It allows remote patient monitoring to help doctors track vitals and decide if ventilation is needed.
DIY Ventilator using Arduino with Blood Oxygen Sensing for Covid PandemicIRJET Journal
This document describes the design and development of a low-cost DIY ventilator using Arduino with blood oxygen sensing capabilities for use during the COVID-19 pandemic. The ventilator is designed to compress an Ambu bag using a stepper motor and pneumatic components to deliver breaths to patients. It monitors blood oxygen levels using a sensor and displays this information on an LED screen. An alarm is also included to sound if any abnormalities are detected. The ventilator is controlled using an Arduino board and is intended to provide a basic yet affordable ventilation option for use in resource-limited settings during medical emergencies like the pandemic.
Secure and smart system for monitoring patients with critical casesnooriasukmaningtyas
Recently, heat-related diseases like COVID19, Chickenpox, Typhoid, and others are increasing significantly; therefore, the need for portable devices to measures the heat of the human body accurately, quickly, easily with low cost has become very necessary to preserve the life of patients. For this reason, a smart system has been developed to monitor the patient's heat, in addition to temperature and humidity of the critical environment such as surgical operating rooms, patients’ isolation rooms and pharmacies, because it can help propagate infectious agents like viruses and bacteria. The proposed system divided into four parts: transmitted part (arduino, heat sensor, and hygrometer sensor), alarm part consists of lights and alarm bell, emergency part (doctors and nurses), and the medical application has been used as the last part. The application can be used only by authorized persons and through the accounts which are granted to them, in order to protect the data from sabotage and maintain the privacy and confidentiality of it.
A Review Paper on Doctorless Intelligent Covid CenterIRJET Journal
This document reviews a proposed contactless patient health monitoring system for COVID centers. The system would employ touchless technology to prevent infection spread by avoiding direct contact with patients. Sensors would collect patient data like temperature and oxygen levels and transmit it to a microcontroller. The data would be stored in LabVIEW on a server. Applications like paramedic robots would be used to deliver meals and medicine to eliminate personal contact between patients and healthcare providers. The goal is to minimize physical contact with COVID patients and allow remote monitoring by doctors.
AN ADVANCED MONITORING AND HEALTH CARE FOR ASTHMAIRJET Journal
This document describes a proposed advanced monitoring and healthcare system for asthma. The system uses sensors to monitor environmental pollution, dust particles, and a child's breathing to detect any breathing difficulties. If difficulties are detected, the IoT alert system triggers an alarm and notifies emergency contacts via messages. This allows for immediate medical assistance. The system aims to help diagnose and treat children with asthma earlier to reduce complications.
An intelligent patient tele monitoring system using android technologyeSAT Journals
Abstract
Healthcare to people anytime and anywhere in the world in a more economic and patient friendly manner. Therefore for increasing the patient care efficiency, there arises a need to improve the patient monitoring devices and make them more mobile. The medical world today faces two basic problems when it comes to patient monitoring. Firstly, the needs of health care’s provider’s presence near the bedside of the patient and secondly, the patient is restricted to bed and wired to large machines. In order to achieve better quality patient care, the above cited problems have to be solved.As telecommunications technologies are advancing, it has become feasible to design more portal vital sign patient tele monitoring systems to acquire, record, display and to transmit the physiological signal from the patient to any place.In this project real time transmission of patient self -tested blood pressure data to doctor is achieved.This system is very convenient to use for doctors and patient. The modern visionary of healthcare industry is to provide better
Keywords: GSM, Android
IOSR Journal of Electronics and Communication Engineering(IOSR-JECE) is an open access international journal that provides rapid publication (within a month) of articles in all areas of electronics and communication engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in electronics and communication engineering. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Dual Mode Ventilator Integrated with Patient Monitoring SystemIRJET Journal
This document describes a dual mode ventilator integrated with a patient monitoring system that was designed by a group of students. The ventilator can operate in both adult and pediatric modes and monitors vital patient parameters like ECG, oxygen saturation, temperature, and pulse using integrated sensors. All sensor data is processed by a microcontroller and displayed on an LCD screen. It can also transmit this data to concerned individuals via an IoT platform and mobile app for remote monitoring. The goal is to create an efficient and low-cost portable ventilator for COVID-19 patients that provides ventilation and integrated monitoring of multiple patients simultaneously.
IoT Based Smart Ventilator & Patient Monitoring SystemIRJET Journal
This document describes an IoT-based smart ventilator and patient monitoring system. The system has two parts - an IoT ventilator that uses a servo motor to pump air into an Ambu bag to ventilate patients, and a patient monitoring system that measures vital signs like temperature, blood oxygen levels, and heart rate. Both systems connect to the internet using ESP8266 and send data to a website where doctors can monitor patients. The integrated system provides low-cost ventilation and health monitoring, especially important during the COVID-19 pandemic. It allows remote patient monitoring to help doctors track vitals and decide if ventilation is needed.
DIY Ventilator using Arduino with Blood Oxygen Sensing for Covid PandemicIRJET Journal
This document describes the design and development of a low-cost DIY ventilator using Arduino with blood oxygen sensing capabilities for use during the COVID-19 pandemic. The ventilator is designed to compress an Ambu bag using a stepper motor and pneumatic components to deliver breaths to patients. It monitors blood oxygen levels using a sensor and displays this information on an LED screen. An alarm is also included to sound if any abnormalities are detected. The ventilator is controlled using an Arduino board and is intended to provide a basic yet affordable ventilation option for use in resource-limited settings during medical emergencies like the pandemic.
Secure and smart system for monitoring patients with critical casesnooriasukmaningtyas
Recently, heat-related diseases like COVID19, Chickenpox, Typhoid, and others are increasing significantly; therefore, the need for portable devices to measures the heat of the human body accurately, quickly, easily with low cost has become very necessary to preserve the life of patients. For this reason, a smart system has been developed to monitor the patient's heat, in addition to temperature and humidity of the critical environment such as surgical operating rooms, patients’ isolation rooms and pharmacies, because it can help propagate infectious agents like viruses and bacteria. The proposed system divided into four parts: transmitted part (arduino, heat sensor, and hygrometer sensor), alarm part consists of lights and alarm bell, emergency part (doctors and nurses), and the medical application has been used as the last part. The application can be used only by authorized persons and through the accounts which are granted to them, in order to protect the data from sabotage and maintain the privacy and confidentiality of it.
A Review Paper on Doctorless Intelligent Covid CenterIRJET Journal
This document reviews a proposed contactless patient health monitoring system for COVID centers. The system would employ touchless technology to prevent infection spread by avoiding direct contact with patients. Sensors would collect patient data like temperature and oxygen levels and transmit it to a microcontroller. The data would be stored in LabVIEW on a server. Applications like paramedic robots would be used to deliver meals and medicine to eliminate personal contact between patients and healthcare providers. The goal is to minimize physical contact with COVID patients and allow remote monitoring by doctors.
AN ADVANCED MONITORING AND HEALTH CARE FOR ASTHMAIRJET Journal
This document describes a proposed advanced monitoring and healthcare system for asthma. The system uses sensors to monitor environmental pollution, dust particles, and a child's breathing to detect any breathing difficulties. If difficulties are detected, the IoT alert system triggers an alarm and notifies emergency contacts via messages. This allows for immediate medical assistance. The system aims to help diagnose and treat children with asthma earlier to reduce complications.
An intelligent patient tele monitoring system using android technologyeSAT Journals
Abstract
Healthcare to people anytime and anywhere in the world in a more economic and patient friendly manner. Therefore for increasing the patient care efficiency, there arises a need to improve the patient monitoring devices and make them more mobile. The medical world today faces two basic problems when it comes to patient monitoring. Firstly, the needs of health care’s provider’s presence near the bedside of the patient and secondly, the patient is restricted to bed and wired to large machines. In order to achieve better quality patient care, the above cited problems have to be solved.As telecommunications technologies are advancing, it has become feasible to design more portal vital sign patient tele monitoring systems to acquire, record, display and to transmit the physiological signal from the patient to any place.In this project real time transmission of patient self -tested blood pressure data to doctor is achieved.This system is very convenient to use for doctors and patient. The modern visionary of healthcare industry is to provide better
Keywords: GSM, Android
IOSR Journal of Electronics and Communication Engineering(IOSR-JECE) is an open access international journal that provides rapid publication (within a month) of articles in all areas of electronics and communication engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in electronics and communication engineering. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
This document summarizes a project to automate online monitoring of compressed air status in an industry with alarms. Sensors measure air pressure, temperature, dew point, and vibrations. A PIC microcontroller displays the sensor readings on an LCD and sounds an alarm if vibrations exceed a limit. The same data is sent wirelessly to a PC using Zigbee. The PC allows remotely controlling the compressor and dryer power. The automation aims to safely manage air quality without constant human monitoring and reduce costs compared to wired networks.
Review of Online Monitoring of status of air for Automation with alarmiosrjce
IOSR Journal of Electronics and Communication Engineering(IOSR-JECE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of electronics and communication engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in electronics and communication engineering. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Early coronavirus disease detection using internet of things smart systemIJECEIAES
The internet of things (IoT) is quickly evolving, allowing for the connecting of a wide range of smart devices in a variety of applications including industry, military, education, and health. Coronavirus has recently expanded fast across the world, and there are no particular therapies available at this moment. As a result, it is critical to avoid infection and watch signs like fever and shortness of breath. This research work proposes a smart and robust system that assists patients with influenza symptoms in determining whether or not they are infected with the coronavirus disease (COVID-19). In addition to the diagnostic capabilities of the system, the system aids these patients in obtaining medical care quickly by informing medical authorities via Blynk IoT. Moreover, the global positioning system (GPS) module is used to track patient mobility in order to locate contaminated regions and analyze suspected patient behaviors. Finally, this idea might be useful in medical institutions, quarantine units, airports, and other relevant fields.
IRJET- Wireless Real Time Implementation of Health Assist System for RuralsIRJET Journal
This document summarizes a research paper that proposes a wireless real-time health assist system for rural areas. The system aims to (1) dispense basic medical pills to remote villages, (2) measure patient health metrics like temperature, heart rate and blood pressure, and (3) allow patients to consult with doctors remotely via video calls. The system uses an Arduino microcontroller connected to sensors to measure vital signs and an RFID card reader for patient identification. Patient data is transmitted to a receiver where a doctor can view the information and prescribe pills, which are then dispensed from the system. The researchers believe this system could help address lack of access to healthcare in rural areas.
IRJET- Design and Implementation of Health Monitoring SystemIRJET Journal
This document summarizes the design and implementation of a health monitoring system. The system uses sensors like pulse, ECG and temperature sensors connected to an Arduino board to monitor a patient's health status. The sensor data is sent wirelessly to a cloud-based ThingSpeak server for storage and real-time monitoring via a mobile application. The system allows doctors to remotely monitor patients' health parameters like temperature, pulse and ECG from anywhere without needing to visit in-person.
1) The document describes MediBox, an IOT-enabled patient assisting device that helps patients take their medications on time through voice alerts, LED indicators, and notifications to caregivers.
2) MediBox contains separate compartments for different medications and maintains optimal temperature and humidity levels for drug quality.
3) A web application allows for online monitoring of patients and alerts caregivers if a patient misses a dose.
This document describes the development of a Human Machine Interface for Information and Communication in Telemedicine (HMI-ICTM). The interface allows for:
- Measuring multidimensional physiological signals from a patient representing their health state.
- Controlling medical substitution systems for defective organs.
- Transferring medical data through computer networks.
The initial configuration involves digitizing and processing 3 signals - ECG, PTG, and PPG. Algorithms were developed for temporal, spectral, and correlation analysis of the signals to provide diagnostic information to practitioners and better manage cardio-respiratory failure. The interface utilizes a microcontroller and software to acquire, process, archive and transfer medical data over networks for telemedicine applications.
Pressure Prediction System in Lung Circuit using Deep Learning and Machine Le...IRJET Journal
The document describes a research project that aims to develop a machine learning model to predict pressure in the lung circuit of mechanical ventilators. The researchers propose using an LSTM neural network model to predict ventilator pressure as a sequence prediction problem. LSTM networks are well-suited for sequence prediction compared to other models like RNNs. The researchers collected patient ventilator data containing parameters like breathing frequency, oxygen levels, and air resistance to train and test their LSTM model. Accurately predicting pressure could help reduce workload on healthcare systems and automate some ventilator functions.
An educational fuzzy temperature control system IJECEIAES
Control engineering is one of the important engineering topics taught at many engineering based universities around the world in most undergraduate and postgraduate courses. The control engineering curriculum includes both the classical feedback based control theory and the state space theory. The modern control theory is based on the intelligent control algorithms utilizing the soft computing techniques, such as the fuzzy control theory and neural networks. Laboratory work is an important part of any control engineering course. The problem with the modern control theory laboratories is that it is essential to offer simple experiments to students so that they can easily put the complex theories they have learned in their courses into practice and see and understand the results. This paper describes the design of a low-cost fuzzy based microcontroller temperature control system using off the shelf products. The developed system should provide a low-cost fuzzy control experiment in the laboratories for students studying control engineering.
A Healthcare Monitoring System Using Wifi ModuleIRJET Journal
This document presents a healthcare monitoring system using WiFi modules. The system uses sensors like a temperature sensor and heart rate sensor connected to an Arduino microcontroller to monitor patients' vital signs. The sensor data is sent wirelessly to a monitoring center using a WiFi module. Doctors can access the continuously recorded medical data to diagnose patients remotely. The system aims to provide constant monitoring without confining patients to beds and reduce human errors in manual data logging. It allows for broader use among patients, medical professionals and in rural areas with limited access to healthcare.
The document proposes an Emergency Medical Dispatcher application that allows users to quickly call an ambulance, track the ambulance's location in real-time, and find the optimal route to the nearest hospital to reduce response times during medical emergencies. It reviews existing ambulance tracking systems and describes the key features and implementation of the proposed application, including location tracking, notification alerts, finding nearby clinics, route optimization, a pill reminder, and a health records module.
The main focus of the paper is to help the patient who is under critical condition and gives real time medical assistant to the patient. The first few minutes of a medical emergency are critical. This is why proper care should be immediately provided to prevent any further complications some examples include heart failure, drowning, traumas, and other respiratory issues. An air ambulance is a specially outfitted helicopter, or fixed wing aircraft, that transports injured or sick people in a medical emergency or over distances or terrain impractical for a conventional ground ambulance. Fixed wing aircraft most often used to move patients over long distances and for repatriation from foreign countries. These and related operations are termed as ‘Aeromedical’. This type of aeromedical can be used only at the time of war for the soldiers. Aeromedical can be land in the place where there is huge space it can’t be landed in the Center of the city or in congested place. To overcome, this problem drones are used in the medical field. These drones are helpful for transporting medicines, blood, donated organs from one place to another. The drawbacks of the medical drones are insufficient battery power, signal transmission to long range, cost, etc. As soon as the patient goes to the critical condition people surrounding to the patient doesn’t know to give the first aid. To overcome, this drone with real time patient monitoring system is integrated to help the patient. The real time patient monitoring system interfaced with temperature sensor, ECG, Respiration sensor, heartbeat sensor and pressure sensor. The pic microcontroller PIC 16F877A used to interface all the sensors shows the real time patient monitoring system kit. In this system GSM modulesends the information of the patient through the message, GPS is used the track the location of the quadcopter to the operator of the ground station. This helps them to send the vehicle to exact accident location shows the quad copter. After fixing the sensors to the patient, the condition is continuously monitored and sends information to the nearby hospital and control center over a wireless. Swarnalatha Anumula | T. Prabu "Medicopter as a First Aid Tool" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-2 , February 2022, URL: https://www.ijtsrd.com/papers/ijtsrd49232.pdf Paper URL: https://www.ijtsrd.com/engineering/aeronautical-engineering/49232/medicopter-as-a-first-aid-tool/swarnalatha-anumula
Vehicle Safety Speed Controller under Driver Fatigue Using Eye Blink Sensorijtsrd
Accidents occurred at night time are mainly due to carelessness of human being such as sleepiness. To avoid that we design and develop a control system based on intelligent electronically controlled automotive braking system. It consists of IR transmitter and receiver circuit, control unit, pneumatic breaking system. The IR sensor is used to monitor the eye blink movement. If the eye blink movement varies beyond the normal condition set (3 sec); the IR sends the control signal to the breaking system through electronic control unit (ECU). Thus the pneumatic breaking system is used to break the system and alerts the driver to not sleep. From this accidents can prevent before it occurs. Chandra Mohan M | Arivazhagan. A"Vehicle Safety Speed Controller under Driver Fatigue Using Eye Blink Sensor" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-1 , December 2017, URL: http://www.ijtsrd.com/papers/ijtsrd7130.pdf http://www.ijtsrd.com/engineering/computer-engineering/7130/vehicle-safety-speed-controller-under--driver-fatigue-using-eye-blink-sensor/chandra-mohan-m
This document describes an IoT-based patient monitoring system that collects a patient's vital signs like heartbeat, temperature, ECG, oxygen level, and other data using sensors. The data is sent to a cloud platform called ThingSpeak and can be accessed through a mobile application. This allows medical staff to remotely monitor patients in real-time. Key benefits of the system include reduced errors, decreased costs by reducing visits, better patient experience through continuous monitoring, and ability to provide quick treatment if abnormalities are detected. The system uses a NodeMCU microcontroller along with sensors like a pulse oximeter, temperature sensor, and ECG sensor to collect and transmit the health data.
IRJET - An IoT based Smart Medical System in Trains for PassengersIRJET Journal
This document proposes an IoT-based smart medical system for passengers on trains. The system has two sections - a compartment section and an engine section. The compartment section monitors a patient's heartbeat and respiration using sensors and provides assistance like activating a ventilator or CPR mechanism if values go outside normal ranges. It sends emergency messages to the engine section via a wireless network. The engine section notifies the train driver via an LCD display and buzzer alarm. The system aims to provide preliminary medical support to emergency patients on trains to save time in reaching the hospital.
Bag valve ventilator prior art search and literature surveyShivalEthape
The document provides references for a bag valve mask type ventilator, including 4 patent references and 4 non-patent literature references describing existing ventilator designs from MIT, Rice University, and IIT Kanpur. It also lists major ventilator manufacturers and suggests a design for a ventilator that could be powered by a single compressor to power multiple ventilators simultaneously in order to reduce energy consumption compared to individual compressors per ventilator. The conclusion discusses the priority of overcoming IP barriers to enable widespread manufacturing of critical medical equipment during the COVID-19 pandemic.
Real-time Heart Pulse Monitoring Technique Using Wireless Sensor Network and ...IJECEIAES
This summarizes a document describing a real-time heart pulse monitoring system using a wireless sensor network and mobile application. The proposed system measures a patient's heart pulse using an infrared sensor. It then amplifies and filters the signal before sending it over a network using an Arduino board and Ethernet shield. The heart pulse values are displayed on both a computer-based and smartphone-based application in real-time. The system was tested on 10 people of varying ages, genders, and health statuses, and the results were within normal heart pulse ranges according to medical standards.
Electronic pressure sensors used in aircraftLahiru Dilshan
This report is prepared using different types of pressure measuring sensors that use in aviation. There are different categories of pressure sensors and different applications.
Automatic covid screening and deep learningIRJET Journal
This document discusses the development of an IoT-based smart screening and disinfection system to help control the spread of COVID-19. The proposed system uses temperature sensors, a pulse sensor, and image processing with deep learning for face mask detection to screen individuals. If thresholds are exceeded, the system would record the individual and activate disinfection protocols like spraying sanitizer or closing doors. It was designed to reduce human involvement in screening processes. The system aims to minimize COVID-19 spread at public entrances through rapid, automated screening and recorded tracking of suspected cases.
In this research, the design and simulation of an automatic system for temperature control using embedded system in order to automatically control of multi appliances depend on the temperature value. The appliances will be controlled are ventilation, cooling, heating and alert. this is an order to avoid or reduce to human intervention and increase system reliability. An important feature of this automation process is to reduce or eliminate the possibility of relying on the human factor operator for industries, warehouses and laboratories, and to improve working and performance environments. The system in this paper used the microcontroller PIC16F887 as the central control unit, LM35 temperature sensor as a temperature source,16x2 liquid crystal display (LCD) as indicator to display the different system working status an addition to some of drivers, relay and light emitting diodes (LED) as indicators to display the corresponding working appliance driver. The implementation and simulation of the system work has been achieved by using proteus professional software v8.0 and mikroc pro for pic v .6.6.1 software to write the equivalent program and generate .hex file for system working. The result shows in figures 5, 6, 7, and 8 that explain the system working cases.
Because of the rapid growth in technology breakthroughs, including
multimedia and cell phones, Telugu character recognition (TCR) has recently
become a popular study area. It is still necessary to construct automated and
intelligent online TCR models, even if many studies have focused on offline
TCR models. The Telugu character dataset construction and validation using
an Inception and ResNet-based model are presented. The collection of 645
letters in the dataset includes 18 Achus, 38 Hallus, 35 Othulu, 34×16
Guninthamulu, and 10 Ankelu. The proposed technique aims to efficiently
recognize and identify distinctive Telugu characters online. This model's main
pre-processing steps to achieve its goals include normalization, smoothing,
and interpolation. Improved recognition performance can be attained by using
stochastic gradient descent (SGD) to optimize the model's hyperparameters.
Scientific workload execution on a distributed computing platform such as a
cloud environment is time-consuming and expensive. The scientific workload
has task dependencies with different service level agreement (SLA)
prerequisites at different levels. Existing workload scheduling (WS) designs
are not efficient in assuring SLA at the task level. Alongside, induces higher
costs as the majority of scheduling mechanisms reduce either time or energy.
In reducing, cost both energy and makespan must be optimized together for
allocating resources. No prior work has considered optimizing energy and
processing time together in meeting task level SLA requirements. This paper
presents task level energy and performance assurance-workload scheduling
(TLEPA-WS) algorithm for the distributed computing environment. The
TLEPA-WS guarantees energy minimization with the performance
requirement of the parallel application under a distributed computational
environment. Experiment results show a significant reduction in using energy
and makespan; thereby reducing the cost of workload execution in comparison
with various standard workload execution models.
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This document summarizes a project to automate online monitoring of compressed air status in an industry with alarms. Sensors measure air pressure, temperature, dew point, and vibrations. A PIC microcontroller displays the sensor readings on an LCD and sounds an alarm if vibrations exceed a limit. The same data is sent wirelessly to a PC using Zigbee. The PC allows remotely controlling the compressor and dryer power. The automation aims to safely manage air quality without constant human monitoring and reduce costs compared to wired networks.
Review of Online Monitoring of status of air for Automation with alarmiosrjce
IOSR Journal of Electronics and Communication Engineering(IOSR-JECE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of electronics and communication engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in electronics and communication engineering. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Early coronavirus disease detection using internet of things smart systemIJECEIAES
The internet of things (IoT) is quickly evolving, allowing for the connecting of a wide range of smart devices in a variety of applications including industry, military, education, and health. Coronavirus has recently expanded fast across the world, and there are no particular therapies available at this moment. As a result, it is critical to avoid infection and watch signs like fever and shortness of breath. This research work proposes a smart and robust system that assists patients with influenza symptoms in determining whether or not they are infected with the coronavirus disease (COVID-19). In addition to the diagnostic capabilities of the system, the system aids these patients in obtaining medical care quickly by informing medical authorities via Blynk IoT. Moreover, the global positioning system (GPS) module is used to track patient mobility in order to locate contaminated regions and analyze suspected patient behaviors. Finally, this idea might be useful in medical institutions, quarantine units, airports, and other relevant fields.
IRJET- Wireless Real Time Implementation of Health Assist System for RuralsIRJET Journal
This document summarizes a research paper that proposes a wireless real-time health assist system for rural areas. The system aims to (1) dispense basic medical pills to remote villages, (2) measure patient health metrics like temperature, heart rate and blood pressure, and (3) allow patients to consult with doctors remotely via video calls. The system uses an Arduino microcontroller connected to sensors to measure vital signs and an RFID card reader for patient identification. Patient data is transmitted to a receiver where a doctor can view the information and prescribe pills, which are then dispensed from the system. The researchers believe this system could help address lack of access to healthcare in rural areas.
IRJET- Design and Implementation of Health Monitoring SystemIRJET Journal
This document summarizes the design and implementation of a health monitoring system. The system uses sensors like pulse, ECG and temperature sensors connected to an Arduino board to monitor a patient's health status. The sensor data is sent wirelessly to a cloud-based ThingSpeak server for storage and real-time monitoring via a mobile application. The system allows doctors to remotely monitor patients' health parameters like temperature, pulse and ECG from anywhere without needing to visit in-person.
1) The document describes MediBox, an IOT-enabled patient assisting device that helps patients take their medications on time through voice alerts, LED indicators, and notifications to caregivers.
2) MediBox contains separate compartments for different medications and maintains optimal temperature and humidity levels for drug quality.
3) A web application allows for online monitoring of patients and alerts caregivers if a patient misses a dose.
This document describes the development of a Human Machine Interface for Information and Communication in Telemedicine (HMI-ICTM). The interface allows for:
- Measuring multidimensional physiological signals from a patient representing their health state.
- Controlling medical substitution systems for defective organs.
- Transferring medical data through computer networks.
The initial configuration involves digitizing and processing 3 signals - ECG, PTG, and PPG. Algorithms were developed for temporal, spectral, and correlation analysis of the signals to provide diagnostic information to practitioners and better manage cardio-respiratory failure. The interface utilizes a microcontroller and software to acquire, process, archive and transfer medical data over networks for telemedicine applications.
Pressure Prediction System in Lung Circuit using Deep Learning and Machine Le...IRJET Journal
The document describes a research project that aims to develop a machine learning model to predict pressure in the lung circuit of mechanical ventilators. The researchers propose using an LSTM neural network model to predict ventilator pressure as a sequence prediction problem. LSTM networks are well-suited for sequence prediction compared to other models like RNNs. The researchers collected patient ventilator data containing parameters like breathing frequency, oxygen levels, and air resistance to train and test their LSTM model. Accurately predicting pressure could help reduce workload on healthcare systems and automate some ventilator functions.
An educational fuzzy temperature control system IJECEIAES
Control engineering is one of the important engineering topics taught at many engineering based universities around the world in most undergraduate and postgraduate courses. The control engineering curriculum includes both the classical feedback based control theory and the state space theory. The modern control theory is based on the intelligent control algorithms utilizing the soft computing techniques, such as the fuzzy control theory and neural networks. Laboratory work is an important part of any control engineering course. The problem with the modern control theory laboratories is that it is essential to offer simple experiments to students so that they can easily put the complex theories they have learned in their courses into practice and see and understand the results. This paper describes the design of a low-cost fuzzy based microcontroller temperature control system using off the shelf products. The developed system should provide a low-cost fuzzy control experiment in the laboratories for students studying control engineering.
A Healthcare Monitoring System Using Wifi ModuleIRJET Journal
This document presents a healthcare monitoring system using WiFi modules. The system uses sensors like a temperature sensor and heart rate sensor connected to an Arduino microcontroller to monitor patients' vital signs. The sensor data is sent wirelessly to a monitoring center using a WiFi module. Doctors can access the continuously recorded medical data to diagnose patients remotely. The system aims to provide constant monitoring without confining patients to beds and reduce human errors in manual data logging. It allows for broader use among patients, medical professionals and in rural areas with limited access to healthcare.
The document proposes an Emergency Medical Dispatcher application that allows users to quickly call an ambulance, track the ambulance's location in real-time, and find the optimal route to the nearest hospital to reduce response times during medical emergencies. It reviews existing ambulance tracking systems and describes the key features and implementation of the proposed application, including location tracking, notification alerts, finding nearby clinics, route optimization, a pill reminder, and a health records module.
The main focus of the paper is to help the patient who is under critical condition and gives real time medical assistant to the patient. The first few minutes of a medical emergency are critical. This is why proper care should be immediately provided to prevent any further complications some examples include heart failure, drowning, traumas, and other respiratory issues. An air ambulance is a specially outfitted helicopter, or fixed wing aircraft, that transports injured or sick people in a medical emergency or over distances or terrain impractical for a conventional ground ambulance. Fixed wing aircraft most often used to move patients over long distances and for repatriation from foreign countries. These and related operations are termed as ‘Aeromedical’. This type of aeromedical can be used only at the time of war for the soldiers. Aeromedical can be land in the place where there is huge space it can’t be landed in the Center of the city or in congested place. To overcome, this problem drones are used in the medical field. These drones are helpful for transporting medicines, blood, donated organs from one place to another. The drawbacks of the medical drones are insufficient battery power, signal transmission to long range, cost, etc. As soon as the patient goes to the critical condition people surrounding to the patient doesn’t know to give the first aid. To overcome, this drone with real time patient monitoring system is integrated to help the patient. The real time patient monitoring system interfaced with temperature sensor, ECG, Respiration sensor, heartbeat sensor and pressure sensor. The pic microcontroller PIC 16F877A used to interface all the sensors shows the real time patient monitoring system kit. In this system GSM modulesends the information of the patient through the message, GPS is used the track the location of the quadcopter to the operator of the ground station. This helps them to send the vehicle to exact accident location shows the quad copter. After fixing the sensors to the patient, the condition is continuously monitored and sends information to the nearby hospital and control center over a wireless. Swarnalatha Anumula | T. Prabu "Medicopter as a First Aid Tool" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-2 , February 2022, URL: https://www.ijtsrd.com/papers/ijtsrd49232.pdf Paper URL: https://www.ijtsrd.com/engineering/aeronautical-engineering/49232/medicopter-as-a-first-aid-tool/swarnalatha-anumula
Vehicle Safety Speed Controller under Driver Fatigue Using Eye Blink Sensorijtsrd
Accidents occurred at night time are mainly due to carelessness of human being such as sleepiness. To avoid that we design and develop a control system based on intelligent electronically controlled automotive braking system. It consists of IR transmitter and receiver circuit, control unit, pneumatic breaking system. The IR sensor is used to monitor the eye blink movement. If the eye blink movement varies beyond the normal condition set (3 sec); the IR sends the control signal to the breaking system through electronic control unit (ECU). Thus the pneumatic breaking system is used to break the system and alerts the driver to not sleep. From this accidents can prevent before it occurs. Chandra Mohan M | Arivazhagan. A"Vehicle Safety Speed Controller under Driver Fatigue Using Eye Blink Sensor" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-1 , December 2017, URL: http://www.ijtsrd.com/papers/ijtsrd7130.pdf http://www.ijtsrd.com/engineering/computer-engineering/7130/vehicle-safety-speed-controller-under--driver-fatigue-using-eye-blink-sensor/chandra-mohan-m
This document describes an IoT-based patient monitoring system that collects a patient's vital signs like heartbeat, temperature, ECG, oxygen level, and other data using sensors. The data is sent to a cloud platform called ThingSpeak and can be accessed through a mobile application. This allows medical staff to remotely monitor patients in real-time. Key benefits of the system include reduced errors, decreased costs by reducing visits, better patient experience through continuous monitoring, and ability to provide quick treatment if abnormalities are detected. The system uses a NodeMCU microcontroller along with sensors like a pulse oximeter, temperature sensor, and ECG sensor to collect and transmit the health data.
IRJET - An IoT based Smart Medical System in Trains for PassengersIRJET Journal
This document proposes an IoT-based smart medical system for passengers on trains. The system has two sections - a compartment section and an engine section. The compartment section monitors a patient's heartbeat and respiration using sensors and provides assistance like activating a ventilator or CPR mechanism if values go outside normal ranges. It sends emergency messages to the engine section via a wireless network. The engine section notifies the train driver via an LCD display and buzzer alarm. The system aims to provide preliminary medical support to emergency patients on trains to save time in reaching the hospital.
Bag valve ventilator prior art search and literature surveyShivalEthape
The document provides references for a bag valve mask type ventilator, including 4 patent references and 4 non-patent literature references describing existing ventilator designs from MIT, Rice University, and IIT Kanpur. It also lists major ventilator manufacturers and suggests a design for a ventilator that could be powered by a single compressor to power multiple ventilators simultaneously in order to reduce energy consumption compared to individual compressors per ventilator. The conclusion discusses the priority of overcoming IP barriers to enable widespread manufacturing of critical medical equipment during the COVID-19 pandemic.
Real-time Heart Pulse Monitoring Technique Using Wireless Sensor Network and ...IJECEIAES
This summarizes a document describing a real-time heart pulse monitoring system using a wireless sensor network and mobile application. The proposed system measures a patient's heart pulse using an infrared sensor. It then amplifies and filters the signal before sending it over a network using an Arduino board and Ethernet shield. The heart pulse values are displayed on both a computer-based and smartphone-based application in real-time. The system was tested on 10 people of varying ages, genders, and health statuses, and the results were within normal heart pulse ranges according to medical standards.
Electronic pressure sensors used in aircraftLahiru Dilshan
This report is prepared using different types of pressure measuring sensors that use in aviation. There are different categories of pressure sensors and different applications.
Automatic covid screening and deep learningIRJET Journal
This document discusses the development of an IoT-based smart screening and disinfection system to help control the spread of COVID-19. The proposed system uses temperature sensors, a pulse sensor, and image processing with deep learning for face mask detection to screen individuals. If thresholds are exceeded, the system would record the individual and activate disinfection protocols like spraying sanitizer or closing doors. It was designed to reduce human involvement in screening processes. The system aims to minimize COVID-19 spread at public entrances through rapid, automated screening and recorded tracking of suspected cases.
In this research, the design and simulation of an automatic system for temperature control using embedded system in order to automatically control of multi appliances depend on the temperature value. The appliances will be controlled are ventilation, cooling, heating and alert. this is an order to avoid or reduce to human intervention and increase system reliability. An important feature of this automation process is to reduce or eliminate the possibility of relying on the human factor operator for industries, warehouses and laboratories, and to improve working and performance environments. The system in this paper used the microcontroller PIC16F887 as the central control unit, LM35 temperature sensor as a temperature source,16x2 liquid crystal display (LCD) as indicator to display the different system working status an addition to some of drivers, relay and light emitting diodes (LED) as indicators to display the corresponding working appliance driver. The implementation and simulation of the system work has been achieved by using proteus professional software v8.0 and mikroc pro for pic v .6.6.1 software to write the equivalent program and generate .hex file for system working. The result shows in figures 5, 6, 7, and 8 that explain the system working cases.
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Because of the rapid growth in technology breakthroughs, including
multimedia and cell phones, Telugu character recognition (TCR) has recently
become a popular study area. It is still necessary to construct automated and
intelligent online TCR models, even if many studies have focused on offline
TCR models. The Telugu character dataset construction and validation using
an Inception and ResNet-based model are presented. The collection of 645
letters in the dataset includes 18 Achus, 38 Hallus, 35 Othulu, 34×16
Guninthamulu, and 10 Ankelu. The proposed technique aims to efficiently
recognize and identify distinctive Telugu characters online. This model's main
pre-processing steps to achieve its goals include normalization, smoothing,
and interpolation. Improved recognition performance can be attained by using
stochastic gradient descent (SGD) to optimize the model's hyperparameters.
Scientific workload execution on a distributed computing platform such as a
cloud environment is time-consuming and expensive. The scientific workload
has task dependencies with different service level agreement (SLA)
prerequisites at different levels. Existing workload scheduling (WS) designs
are not efficient in assuring SLA at the task level. Alongside, induces higher
costs as the majority of scheduling mechanisms reduce either time or energy.
In reducing, cost both energy and makespan must be optimized together for
allocating resources. No prior work has considered optimizing energy and
processing time together in meeting task level SLA requirements. This paper
presents task level energy and performance assurance-workload scheduling
(TLEPA-WS) algorithm for the distributed computing environment. The
TLEPA-WS guarantees energy minimization with the performance
requirement of the parallel application under a distributed computational
environment. Experiment results show a significant reduction in using energy
and makespan; thereby reducing the cost of workload execution in comparison
with various standard workload execution models.
Investigating human subjects is the goal of predicting human emotions in the
real world scenario. A significant number of psychological effects require
(feelings) to be produced, directly releasing human emotions. The
development of effect theory leads one to believe that one must be aware of
one's sentiments and emotions to forecast one's behavior. The proposed line
of inquiry focuses on developing a reliable model incorporating
neurophysiological data into actual feelings. Any change in emotional affect
will directly elicit a response in the body's physiological systems. This
approach is named after the notion of Gaussian mixture models (GMM). The
statistical reaction following data processing, quantitative findings on emotion
labels, and coincidental responses with training samples all directly impact the
outcomes that are accomplished. In terms of statistical parameters such as
population mean and standard deviation, the suggested method is evaluated
compared to a technique considered to be state-of-the-art. The proposed
system determines an individual's emotional state after a minimum of 6
iterative learning using the Gaussian expectation-maximization (GEM)
statistical model, in which the iterations tend to continue to zero error. Perhaps
each of these improves predictions while simultaneously increasing the
amount of value extracted.
Early diagnosis of cancers is a major requirement for patients and a
complicated job for the oncologist. If it is diagnosed early, it could have made
the patient more likely to live. For a few decades, fuzzy logic emerged as an
emphatic technique in the identification of diseases like different types of
cancers. The recognition of cancer diseases mostly operated with inexactness,
inaccuracy, and vagueness. This paper aims to design the fuzzy expert system
(FES) and its implementation for the detection of prostate cancer. Specifically,
prostate-specific antigen (PSA), prostate volume (PV), age, and percentage
free PSA (%FPSA) are used to determine prostate cancer risk (PCR), while
PCR serves as an output parameter. Mamdani fuzzy inference method is used
to calculate a range of PCR. The system provides a scale of risk of prostate
cancer and clears the path for the oncologist to determine whether their
patients need a biopsy. This system is fast as it requires minimum calculation
and hence comparatively less time which reduces mortality and morbidity and
is more reliable than other economic systems and can be frequently used by
doctors.
The biomedical profession has gained importance due to the rapid and accurate diagnosis of clinical patients using computer-aided diagnosis (CAD) tools.
The diagnosis and treatment of Alzheimer’s disease (AD) using complementary multimodalities can improve the quality of life and mental state of patients.
In this study, we integrated a lightweight custom convolutional neural network
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database. We compared the performance of custom and pre-trained deep learning models with and without optimization and found that employing natureinspired algorithms like the particle swarm optimization algorithm (PSO) algorithm significantly improved system performance. The proposed methodology,
which includes a fused multimodality database and optimization strategy, improved performance metrics such as training, validation, test accuracy, precision, and recall. Furthermore, PSO was found to improve the performance of
pre-trained models by 3-5% and custom models by up to 22%. Combining different medical imaging modalities improved the overall model performance by
2-5%. In conclusion, a customized lightweight CNN model and nature-inspired
optimization techniques can significantly enhance progress detection, leading to
better biomedical research and patient care.
Class imbalance is a pervasive issue in the field of disease classification from
medical images. It is necessary to balance out the class distribution while training a model. However, in the case of rare medical diseases, images from affected
patients are much harder to come by compared to images from non-affected
patients, resulting in unwanted class imbalance. Various processes of tackling
class imbalance issues have been explored so far, each having its fair share of
drawbacks. In this research, we propose an outlier detection based image classification technique which can handle even the most extreme case of class imbalance. We have utilized a dataset of malaria parasitized and uninfected cells. An
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cell images by thresholding a loss value. We have achieved an accuracy, precision, recall, and F1 score of 98.49%, 97.07%, 100%, and 98.52% respectively,
performing better than large deep learning models and other published works.
As our proposed approach can provide competitive results without needing the
disease-positive samples during training, it should prove to be useful in binary
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Recently, plant identification has become an active trend due to encouraging
results achieved in plant species detection and plant classification fields
among numerous available plants using deep learning methods. Therefore,
plant classification analysis is performed in this work to address the problem
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flowers, and noise. Thus, a convolutional neural network based deep feature
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performance is tested on the Vietnam plant image (VPN-200) dataset. This
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performance metrics. The mean classification accuracy obtained using the
proposed CNN-DFLC model is 96.42% considering all 200 classes from the
VPN-200 dataset.
Big data as a service (BDaaS) platform is widely used by various
organizations for handling and processing the high volume of data generated
from different internet of things (IoT) devices. Data generated from these IoT
devices are kept in the form of big data with the help of cloud computing
technology. Researchers are putting efforts into providing a more secure and
protected access environment for the data available on the cloud. In order to
create a safe, distributed, and decentralised environment in the cloud,
blockchain technology has emerged as a useful tool. In this research paper, we
have proposed a system that uses blockchain technology as a tool to regulate
data access that is provided by BDaaS platforms. We are securing the access
policy of data by using a modified form of ciphertext policy-attribute based
encryption (CP-ABE) technique with the help of blockchain technology. For
secure data access in BDaaS, algorithms have been created using a mix of CPABE with blockchain technology. Proposed smart contract algorithms are
implemented using Eclipse 7.0 IDE and the cloud environment has been
simulated on CloudSim tool. Results of key generation time, encryption time,
and decryption time has been calculated and compared with access control
mechanism without blockchain technology.
Internet of things (IoT) has become one of the eminent phenomena in human
life along with its collaboration with wireless sensor networks (WSNs), due
to enormous growth in the domain; there has been a demand to address the
various issues regarding it such as energy consumption, redundancy, and
overhead. Data aggregation (DA) is considered as the basic mechanism to
minimize the energy efficiency and communication overhead; however,
security plays an important role where node security is essential due to the
volatile nature of WSN. Thus, we design and develop proximate node aware
secure data aggregation (PNA-SDA). In the PNA-SDA mechanism, additional
data is used to secure the original data, and further information is shared with
the proximate node; moreover, further security is achieved by updating the
state each time. Moreover, the node that does not have updated information is
considered as the compromised node and discarded. PNA-SDA is evaluated
considering the different parameters like average energy consumption, and
average deceased node; also, comparative analysis is carried out with the
existing model in terms of throughput and correct packet identification.
Drones provide an alternative progression in protection submissions since
they are capable of conducting autonomous seismic investigations. Recent
advancement in unmanned aerial vehicle (UAV) communication is an internet
of a drone combined with 5G networks. Because of the quick utilization of
rapidly progressed registering frameworks besides 5G officialdoms, the
information from the user is consistently refreshed and pooled. Thus, safety
or confidentiality is vital among clients, and a proficient substantiation
methodology utilizing a vigorous sanctuary key. Conventional procedures
ensure a few restrictions however taking care of the assault arrangements in
information transmission over the internet of drones (IOD) environmental
frameworks. A unique hyperelliptical curve (HEC) cryptographically based
validation system is proposed to provide protected data facilities among
drones. The proposed method has been compared with the existing methods
in terms of packet loss rate, computational cost, and delay and thereby
provides better insight into efficient and secure communication. Finally, the
simulation results show that our strategy is efficient in both computation and
communication.
Monitoring behavior, numerous actions, or any such information is considered
as surveillance and is done for information gathering, influencing, managing,
or directing purposes. Citizens employ surveillance to safeguard their
communities. Governments do this for the purposes of intelligence collection,
including espionage, crime prevention, the defense of a method, a person, a
group, or an item; or the investigation of criminal activity. Using an internet
of things (IoT) rover, the area will be secured with better secrecy and
efficiency instead of humans, will provide an additional safety step. In this
paper, there is a discussion about an IoT rover for remote surveillance based
around a Raspberry Pi microprocessor which will be able to monitor a
closed/open space. This rover will allow safer survey operations and would
help to reduce the risks involved with it.
In a world where climate change looms large the spotlight often shines on
greenhouse gases, but the shadow of man-made aerosols should not be
underestimated. These tiny particles play a pivotal role in disrupting Earth's
radiative equilibrium, yet many mysteries surround their influence on various
physical aspects of our planet. The root of these mysteries lies in the limited
data we have on aerosol sources, formation processes, conversion dynamics,
and collection methods. Aerosols, composed of particulate matter (PM),
sulfates, and nitrates, hold significant sway across the hemisphere. Accurate
measurement demands the refinement of in-situ, satellite, and ground-based
techniques. As aerosols interact intricately with the environment, their full
impact remains an enigma. Enter a groundbreaking study in Morocco that
dared to compare an internet of thing (IoT) system with satellite-based
atmospheric models, with a focus on fine particles below 10 and 2.5
micrometers in diameter. The initial results, particularly in regions abundant
with extraction pits, shed light on the IoT system's potential to decode
aerosols' role in the grand narrative of climate change. These findings inspire
hope as we confront the formidable global challenge of climate change.
The use of technology has a significant impact to reduce the consequences of
accidents. Sensors, small components that detect interactions experienced by
various components, play a crucial role in this regard. This study focuses on
how the MPU6050 sensor module can be used to detect the movement of
people who are falling, defined as the inability of the lower body, including
the hips and feet, to support the body effectively. An airbag system is
proposed to reduce the impact of a fall. The data processing method in this
study involves the use of a threshold value to identify falling motion. The
results of the study have identified a threshold value for falling motion,
including an acceleration relative (AR) value of less than or equal to 0.38 g,
an angle slope of more than or equal to 40 degrees, and an angular velocity
of more than or equal to 30 °/s. The airbag system is designed to inflate
faster than the time of impact, with a gas flow rate of 0.04876 m3
/s and an
inflating time of 0.05 s. The overall system has a specificity value of 100%,
a sensitivity of 85%, and an accuracy of 94%.
The fundamental principle of the paper is that the soil moisture sensor obtains
the moisture content level of the soil sample. The water pump is automatically
activated if the moisture content is insufficient, which causes water to flow
into the soil. The water pump is immediately turned off when the moisture
content is high enough. Smart home, smart city, smart transportation, and
smart farming are just a few of the new intelligent ideas that internet of things
(IoT) includes. The goal of this method is to increase productivity and
decrease manual labour among farmers. In this paper, we present a system for
monitoring and regulating water flow that employs a soil moisture sensor to
keep track of soil moisture content as well as the land’s water level to keep
track of and regulate the amount of water supplied to the plant. The device
also includes an automated led lighting system.
In order to provide sensing services to low-powered IoT devices, wireless sensor networks (WSNs) organize specialized transducers into networks. Energy usage is one of the most important design concerns in WSN because it is very hard to replace or recharge the batteries in sensor nodes. For an energy-constrained network, the clustering technique is crucial in preserving battery life. By strategically selecting a cluster head (CH), a network's load can be balanced, resulting in decreased energy usage and extended system life. Although clustering has been predominantly used in the literature, the concept of chain-based clustering has not yet been explored. As a result, in this paper, we employ a chain-based clustering architecture for data dissemination in the network. Furthermore, for CH selection, we employ the coati optimisation algorithm, which was recently proposed and has demonstrated significant improvement over other optimization algorithms. In this method, the parameters considered for selecting the CH are energy, node density, distance, and the network’s average energy. The simulation results show tremendous improvement over the competitive cluster-based routing algorithms in the context of network lifetime, stability period (first node dead), transmission rate, and the network's power reserves.
The construction industry is an industry that is always surrounded by
uncertainties and risks. The industry is always associated with a threatindustry which has a complex, tedious layout and techniques characterized by
unpredictable circumstances. It comprises a variety of human talents and the
coordination of different areas and activities associated with it. In this
competitive era of the construction industry, delays and cost overruns of the
project are often common in every project and the causes of that are also
common. One of the problems which we are trying to cater to is the improper
handling of materials at the construction site. In this paper, we propose
developing a system that is capable of tracking construction material on site
that would benefit the contractor and client for better control over inventory
on-site and to minimize loss of material that occurs due to theft and misplacing
of materials.
Today, health monitoring relies heavily on technological advancements. This
study proposes a low-power wide-area network (LPWAN) based, multinodal
health monitoring system to monitor vital physiological data. The suggested
system consists of two nodes, an indoor node, and an outdoor node, and the
nodes communicate via long range (LoRa) transceivers. Outdoor nodes use an
MPU6050 module, heart rate, oxygen pulse, temperature, and skin resistance
sensors and transmit sensed values to the indoor node. We transferred the data
received by the master node to the cloud using the Adafruit cloud service. The
system can operate with a coverage of 4.5 km, where the optimal distance
between outdoor sensor nodes and the indoor master node is 4 km. To further
predict fall detection, various machine learning classification techniques have
been applied. Upon comparing various classifier techniques, the decision tree
method achieved an accuracy of 0.99864 with a training and testing ratio of
70:30. By developing accurate prediction models, we can identify high-risk
individuals and implement preventative measures to reduce the likelihood of
a fall occurring. Remote monitoring of the health and physical status of elderly
people has proven to be the most beneficial application of this technology.
The effectiveness of adaptive filters are mainly dependent on the design
techniques and the algorithm of adaptation. The most common adaptation
technique used is least mean square (LMS) due its computational simplicity.
The application depends on the adaptive filter configuration used and are well
known for system identification and real time applications. In this work, a
modified delayed μ-law proportionate normalized least mean square
(DMPNLMS) algorithm has been proposed. It is the improvised version of the
µ-law proportionate normalized least mean square (MPNLMS) algorithm.
The algorithm is realized using Ladner-Fischer type of parallel prefix
logarithmic adder to reduce the silicon area. The simulation and
implementation of very large-scale integration (VLSI) architecture are done
using MATLAB, Vivado suite and complementary metal–oxide–
semiconductor (CMOS) 90 nm technology node using Cadence RTL and
Genus Compiler respectively. The DMPNLMS method exhibits a reduction
in mean square error, a higher rate of convergence, and more stability. The
synthesis results demonstrate that it is area and delay effective, making it
practical for applications where a faster operating speed is required.
The increasing demand for faster, robust, and efficient device development of enabling technology to mass production of industrial research in circuit design deals with challenges like size, efficiency, power, and scalability. This paper, presents a design and analysis of low power high speed full adder using negative capacitance field effecting transistors. A comprehensive study is performed with adiabatic logic and reversable logic. The performance of full adder is studied with metal oxide field effect transistor (MOSFET) and negative capacitance field effecting (NCFET). The NCFET based full adder offers a low power and high speed compared with conventional MOSFET. The complete design and analysis are performed using cadence virtuoso. The adiabatic logic offering low delay of 0.023 ns and reversable logic is offering low power of 7.19 mw.
The global agriculture system faces significant challenges in meeting the
growing demand for food production, particularly given projections that the
world's population will reach 70% by 2050. Hydroponic farming is an
increasingly popular technique in this field, offering a promising solution to
these challenges. This paper will present the improvement of the current
traditional hydroponic method by providing a system that can be used to
monitor and control the important element in order to help the plant grow up
smoothly. This proposed system is quite efficient and user-friendly that can
be used by anyone. This is a combination of a traditional hydroponic system,
an automatic control system and a smartphone. The primary objective is to
develop a smart system capable of monitoring and controlling potential
hydrogen (pH) levels, a key factor that affects hydroponic plant growth.
Ultimately, this paper offers an alternative approach to address the challenges
of the existing agricultural system and promote the production of clean,
disease-free, and healthy food for a better future.
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Automated ventilator prototype for COVID-19 patient treatment: the design and development of the electronic system
1. International Journal of Reconfigurable and Embedded Systems (IJRES)
Vol. 12, No. 2, July 2023, pp. 222~229
ISSN: 2089-4864, DOI: 10.11591/ijres.v12.i2.pp222-229 222
Journal homepage: http://ijres.iaescore.com
Automated ventilator prototype for COVID-19 patient
treatment: the design and development of the electronic system
Adrián Stacul, Daniel Pastafiglia, Ariel Dalmas Di Giovanni, Martín Morales, Sergio Saluzzi,
Gerardo García
Digital Techniques Laboratory, Institute of Scientific and Technical Research for Defense (CITEDEF), Buenos Aires, Argentina
Article Info ABSTRACT
Article history:
Received Jun 16, 2022
Revised Dec 26, 2022
Accepted Mar 31, 2023
The coronavirus disease 2019 (COVID-19) pandemic has created an urgent
global demand for ventilators, respirators and various resuscitation devices.
Various research and development organizations, private companies and
individual engineers have collaborated and carried out the development of
low-cost ventilation prototypes. In turn, doctors and nurses are collapsed due
to the exponential increase in COVID-19 cases. This scenario worsens more
when the tasks are manual in nature. The article`s objective to describe the
electronic system designed, developed and implemented in a functional
prototype of an automatic ventilator in order to be evaluated by a team of
health professionals to be later used in cases of health emergencies. This
system automates the manual ventilation task aided by a few medical
resources in a scenario of scarce resources and is a temporary solution when
a respirator is not available.
Keywords:
ARM
COVID-19
Digital signal processing
Electronic instrumentation
Medical ventilator
This is an open access article under the CC BY-SA license.
Corresponding Author:
Adrián Stacul
Digital Techniques Laboratory, Institute of Scientific and Technical Research for Defense (CITEDEF)
Villa Martelli, Buenos Aires, Argentina
Email: astacul@citedef.gob.ar
1. INTRODUCTION
In mid-2020, the total number of coronavirus disease 2019 (COVID-19) cases exceeded several
million and there were hundreds of thousands of deaths worldwide [1]. Acute respiratory distress syndrome
(ARDS) has so far been the most common complication in COVID-19 patients requiring admission to the
intensive care unit (ICU) [2]. Mechanical ventilation, originally developed in the early twentieth century within
the context of the polio pandemic, has been revolutionary and evolutionary with respect to delivering optimized
respiratory care for critically ill patients. An airway mask bag unit (AMBU), also known as a manual
resuscitator or self-inflating bag, is a manual device to provide positive pressure ventilation for patients who
are not breathing properly. The objectives of manual ventilation are: i) provide the patient with the necessary
oxygenation to achieve adequate gas exchange, in emergency situations or transfers of intubated patients in the
absence of a transport ventilator and ii) provide the necessary time for qualified healthcare personnel to safely
perform an intubation [3].
The true incidence of hypoxic respiratory failure in patients with COVID-19 is unclear, it seems that
around 14% will develop a serious disease that requires oxygen therapy and 5% the need for mechanical
ventilation. The risk factors associated with respiratory failure that require mechanical ventilation are:
advanced age (>60 years), male sex, and the presence of underlying comorbidities such as diabetes, neoplasms,
and immunocompromised states [4]. However, taking into account various medical sources and health
organizations, in Argentina and another country, there is a shortage of resources, both human and technological.
This motivated this development, in order to facilitate the doctor and nurse, manual tasks to face the health
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emergency with this automated system [5]. Ventilators based on the automation of a manual-resuscitator or
self-inflating bag (AMBU) have the distinctive advantages of availability, minimal number of components,
simple mechanism, low cost, and the ability for rapid deployment [6]. This article details the electronics of the
system developed by the Institute of Scientific and Technical Research for Defense (CITEDEF) Digital
Techniques Laboratory team [7] but does not fully detail the mechanical system developed by the Department
of Applied Mechanics of CITEDEF, only briefly what it consists of. CITEDEF is a government agency
belonging to the Ministry of Defense of Argentina [8] performing R&D for defense del país.
2. OPERATING PRINCIPLE
The bag valve mask (BVM) was chosen for the construction of the automated inflating resuscitator
(AIR) as it is inexpensive, easy to use, widely available, and already has its own safety features. BVMs were
created to temporarily replace mechanical ventilators during situations where mechanical ventilators are not
available, and they function by manually providing positive pressure ventilation for patients who no longer
have the ability to breathe. By incorporating the BVM, the AIR is intended to keep patients who need
mechanical ventilation or ventilatory support, temporarily stabilizing their condition until a traditional
mechanical ventilator becomes available.
A BVM has four parts: exhalation port, patient valve, self-inflated bag, and an oxygen inlet. Optional
components include a positive end-expiratory pressure (PEEP) valve, an oxygen reservoir, and a pressure
gauge. We call these connected parts the "patient circuit" [9]. The self-inflated bag is placed between two arms
printed using a 3D printer. This arm connected physically by a mechanical system which includes several gears,
and a reduction box handled by a steeper motor. The electronic system has two critical tasks. One of them is
to acquire configuration parameters established by a medical staff and moving the prototype arms accordingly.
The second one, the system has two air pressure sensors that can be connected to some points of the patient
circuit, which inform the medical operator some parameters of interest in order to monitor the pressure
insufflated [10].
The sequence: the system has a specific task that is responsible for executing the operation on the
mechanical arms. To do this, the central processing unit (CPU) takes information from the user's configuration
(performed by medical personnel) and translates it into an amount of movement to be performed. That is, to
reach an angular value in a defined time and respond to the times and speeds of each phase of the operating
cycle (opening and closing of arms). The user can view at any time, through the liquid-crystal display (LCD)
display, the values of the potentiometers (% volume, beats per minute (BPM), TI, PMIN) and the status of the
equipment. And, to ensure maneuvering and avoid unwanted changes in settings, a button was incorporated to
confirm the settings [11].
Once the user confirms the desired configuration, the system performs an automatic homing operation,
and begins the operation of opening and closing the arms at the indicated angles/times. To end the sequence
operation or change the setting to another, the user can stop the maneuver with a button and restart the
operation. If by any error the arms of the mechanical system reach any of the safety limit switches [12], the
movement of the mechanical arms will stop immediately and the error status will be reported on the LCD
screen and an audible alarm will be activated.
3. CONCEPT DESIGN
Initially, a work model was developed in which several changes were made on the initial requirements,
where a large part of them resulted in the evolution of the knowledge of the solution sought by implementing
agility criteria. This electronic module developed to respond to the instrumentation of a central microcontroller
with advanced reduced instruction set (RISC) machines and originally acorn RISC machine (ARM [13])
architecture [14], which is fully capable of integrating the firmware solution under development and leaving
free processing for future updates. The electronic system design is show in Figure 1.
4. CONTROLLABLE PARAMETERS AND OPERATIONAL CONSIDERATIONS
There are clinical situations in which professionals must setting the amount of air pressure in order to
achieve adequate ventilation in the patient. The operational characteristics that were considered in the
development of the electronic module were:
- Two individual pressure measurements: through the instrumentation and acquisition of two MPX type
sensors [15] up to 70 mm H2O [16], [17].
- Four configurable parameters for the medical operator: by acquiring four potentiometers on the electronic
board. These are: i) potentiometer 1-%volume: defines the amount of movement of the mechanical arms.
Which defines the minimum pressurization of the patient circuit is detected and activates an alarm if this
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occurs; ii) potentiometer 2-BPM: defines the opening and closing frequency of the mechanical arms; iii)
potentiometer 3-TI: it defines the inspiration time, the active cycle in closing time of the mechanical arms
according to the BPM; and iv) potentiometer 4-PMIN: which defines the minimum pressurization of the
patient circuit is detected and activates an alarm if this occurs.
- An LCD display with 4 lines of text by 20 characters each, where the adjustment of the potentiometers,
the pressure values recorded every 100 ms, and also the status of the alarms are displayed [18].
At the same time, this system contemplates various security situations by sensing abnormal operating
situations. This translates into the implementation of sounding and displayed alarms to notify the medical
operator that a fault situation has occurred, these are:
- Alarm 1: if the system detects a pressure lower than PMin setting.
- Alarm 2: if the system detects a pressure higher than 45 cm H2O [19].
- Alarm 3: if was a critical error on the mechanical system.
Note: Alarm 3 has a double function: the first one if one of the mechanic limit security switches was reached.
The second is determined by a time where an optoelectronic mark was not found during the normal operation.
Figure 1. Concept design
5. ELECTRICAL HARDWARE
In the development of electronic instrumentation, the NUCLEO-F411RE [20], [21] development kit
from STMicroelectronics was used, it is in charge of acquire and processing all the incoming signals to the
system and execute a sequential algorithm to handle the driver and motor assembly. To do this, we have to
develop a PCB motherboard with all the necessary components, sensors and connectors to integrate the
NUCLEO-F411RE development kit, this is shown in Figure 2 and Figure 3. Among the notable characteristics
of this module, in addition to the manufacturer's recommendation for its use in clinical and medical systems,
we can mention the multiplicity of input and output ports for incorporating all the necessary signals and an
internal 100 MHz clock that next to the memory space to be able to host all of the processing algorithms without
losing performance. In turn, a monitoring port was left available for system debugging. This gives us the
possibility of connecting a computer and monitoring in real time the values of the acquired pressures, the
activation of the limit switches and the angle traveled by the mechanical arms. To view the information of the
system, a WinStar WH2004A display of the alphanumeric type was implemented [22], the Figure 4 shows the
user settings. To handle de stepper motor, the Stepperonline DM542 was used [23].
The mechanical system uses a NEMA 24 stepper motor [24], a Stepperonline model DM542 driver
was equipped to operate it. This type of hybrid controller works with a programmable microstep resolution for
greater precision (from 400 steps per turn to 40,000 steps per turn). The firmware developed for the ARM
development kit has a sequential main loop that acquires each of the system's inputs and writes directly to the
outputs. Each entry to the system and each exit from the system are independent, non-blocking firmware tasks,
so the main loop is not affected or locked in each task. Each task runs on its own, freeing up the CPU upon
completion. For this reason, the firmware can incorporate other tasks in the future, among which a processing
space is contemplated to be able to execute the task of the open loop control system (opening and closing
sequence of mechanical arms) [25]. The flow chart of the main loop and main interrupt services is shown in
Figure 5.
MAINBOARD
ARM
P
A
R
A
M
E
T
E
R
S
%VOLUME
BPM
TI
PMIN
DISPLAY + ALARMS
D
R
I
V
E
R
STEPPER MOTOR
SECURITY SENSORS
PRESSURE 1 PRESSURE 2
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Figure 2. Mainboard for the NUCLEO-F411RE kit
Figure 3. Final board with the NUCLEO-F411RE kit connected
Figure 4. Display with user settings (left) and display with pressures values (right)
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Figure 5. Firmware flowchart
6. RESULTS
Several system tests have been performed with different configurations (>40 times), and long-time
system tests (>48 hours) in order to find bugs in the firmware, validate the electronic hardware and analyze the
dynamics of the movement of the arms according to the established configuration and thus define the system
error. The final system is shown in Figure 6. With an oscilloscope it was possible to measure the opening and
closing cycles of the arms and we were able to calculate an estimated error of 3%. The Figure 7 shows and
example of one test with the configuration settings in 24° and it´s results.
Figure 6. Final automated ventilator prototype with the electronic hardware and mechanical system
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Figure 7. Results with and opening and closing arms in 24° (P1 and P2 are the pressures in the system, P is
the movement of the arms, fase is it is closing or opening)
7. CONCLUSION
This study describes the development of the electronic instrumentation necessary to integrate the
monitoring and action solution according to a mechatronic system for the prototype of automatic mechanical
ventilation. And according to the results obtained, this development could automate the operation of an AMBU
bag, also understanding that the response of the system must be evaluated and approved to be used for this
purpose. Despite being of public knowledge, due to the critical situation that the world is going through, special
precautions were taken in the management of time, both technological and administrative, understanding the
scarcity and saturation of the national and international market.
For this development, the way to buy most of the components locally was taken into account, although
it is known that many electronic components are imported and the electronic stores that distribute them lacked
stock. The hardware development was carried out in the home of each of the participants, and then integrated
and finished in the laboratory. The working group took a dynamic to work in person with the minimum of
personnel (and the rest of the group virtually) gradually and taking strict measures to preserve the health of
each one of us.
ACKNOWLEDGEMENT
We would like to first thank the Department of Applied Electronics (DEA) and the Department of
Applied Mechanics (DMA) for their institutional support, as well as the Presidency and other participating
areas: administrative, institutional communication and general services of CITEDEF. We also want to express
our gratitude to the Ministry of Defense Argentina for the financial support to be able to manage this subsidy
successfully.
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ADC counts Real angle
Max value 2355 23,1101447
Min Value 1888 0
Settings: Vol=80%; Ti=Te=1 sec ; Freq = 30 bpm
The angle reached is acceptable
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BIOGRAPHIES OF AUTHORS
Adrián Stacul received his degree in Electronics Engineering from the National
Technological University (Universidad Tecnológica Nacional UTN). His R&D main interest
focuses on on-board hardware, flight centres applied to unmanned vehicles and ground stations
for data processing. The Eng. Adrian Stacul is beginning in the scientific publications in these
areas. He currently with the CITEDEF as a developer and researcher in topics of signal
processing and projects co-director in CITEDEF with Defense Department (Ministerio de
Defensa-MINDEF) of Argentina. He is Professor of Computers Architecture with de Systems
Engineering Department at UTN and there he and there and there he obtained his Ph.D. with
mention to signal processing and images in the thematic of high-speed data acquisition. He can
be contacted at email: astacul@citedef.gob.ar
Daniel Pastafiglia received his degree in Electronics Engineering from the
Merchant Marine University (Universidad de la Marina Mercante). His R&D main interest
focuses on on-board hardware, flight centers applied to unmanned vehicles and ground stations
for data processing. The Eng. Daniel Pastafiglia has a M.S. degree in Control Systems and
Project Management. He currently with the CITEDEF as the chief of the Digital Techniques
Laboratory responsible for projects execution and relationships with Defense Department
(Ministerio de Defensa-MINDEF) of Argentina. Currently, he’s the Project Manager of this
presented work. He can be contacted at email: dpastafiglia@citedef.gob.ar
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Ariel Dalmas Di Giovanni is a staff member of the Digital Techniques Laboratory
in CITEDEF. He received his degree in Electronics Engineering from the National
Technological University (Universidad Tecnológica Nacional-UTN). He currently with the
CITEDEF as a developer and researcher in topics of embedded systems implementations. He
can be contacted at email: adigiovanni@citedef.gob.ar
Martín Morales is a staff member of the Digital Techniques Laboratory in
CITEDEF. He received his degree in Electronics Engineering from the Buenos Aires University
(Universidad de Buenos Aires-UBA). He currently with the CITEDEF as a developer and
researcher in topics of remote systems implementations. He can be contacted at email:
mmorales@citedef.gob.ar
Sergio Saluzzi is a staff member of the Digital Techniques Laboratory in CITEDEF.
He has been technician leader of PCB designs and electronic instrumentation from 2010. His
expertise is mainly related to mechatronics applied to nano-satellites and UAVs. Currently, he
is finishing his degree in electronic engineering at UNSAM (Universidad Nacional de San
Mart´ın). He can be contacted at email: ssaluzzi@citedef.gob.ar
Gerardo García is a staff member of the Digital Techniques Laboratory in
CITEDEF. He has been technical support of new designs and developments. He can be contacted
at email: ggarcia@citedef.gob.ar