The developing of IoT-based health care systems must ensure and increase the safety of the patients, their quality of life and other health care activities. We may not be aware of the health condition of the patient during the sleeping hours. To overcome this problem. This paper proposes an intelligent healthcare monitoring system which monitors and maintains the patient health condition at regular intervals. The heart rate sensor and temperature sensor would help us analyze the patients’ current health condition. In case of major fluctuations in consecutive intervals a buzzer is run in order to notify the hospital staff and doctors. The monitored details are stored in the cloud "ThingSpeak". The doctor can view the patient health condition using Virtuino simulator. This system would help in reducing the random risks of tracing a patient medical highly. Arduino UNO is used to implement this intelligent healthcare monitoring system.
There are a number of scopes for IoT in order to make a difference in lives of patients. The devices can capture as well as monitor related data regarding patient and allows the providers to obtain the insights without bringing the patients visiting. The procedure can assist the patient results as well as preventing the possible communications for the process that involves risk. However, lack of electronic health record (EHR) system integration is one of the major issues faced while using IoT in healthcare. Some of the EHR systems allow the patients importing data into the record. However, it remains limited to a few dominant where the EHR players as well as leaves providers unspecific of the processing data that can be helpful for the organization to use the process. The challenges for interoperability in order to keep data in distinctive medical devices depend on the purpose and ordering physician.
The propose system gives us the development of a Raspberry Pi based system for Wireless heartbeat, temperature monitoring, eye monitoring for coma patient, saline level Detector. That will easily provide real time information available for many users and can send them alert in critical conditions over Internet. In India many patients are dying because of heart attacks and reason behind this factor is that they are not getting proper help during the period. To give them timely and proper help first want to continuous monitoring of patient health. The fixed monitoring system can be used only when the patient is lying on bed and these systems are huge and only available in the hospitals in ICU. The system is developed for home use by patients that are not in a critical condition but need to be timely monitored by doctor or family. In any critical condition the Mail is send to the doctor or any family member. So that it easily save many lives by providing them quick service. Nakul S. Palkhede | Sachin D. Mali | Prof. Manisha S. Shelar"IoT Based Patient Monitoring" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4 , June 2018, URL: http://www.ijtsrd.com/papers/ijtsrd14216.pdf http://www.ijtsrd.com/engineering/electronics-and-communication-engineering/14216/iot-based-patient-monitoring/nakul-s-palkhede
IOT Based Patient Health Monitoring System Using WIFIijtsrd
Health is given the extreme importance now a days by each country with the advent of the novel corona virus. So in this aspect, an IOT based patient health monitoring system is the best solution for such an epidemic. With an improvement in technology and miniaturization of sensors, there have been attempts to utilize the new technology in various areas to improve the quality of human life. As a result, this project is an attempt to solve a health care problem currently society is facing covid 19.The main objective of the project was to design for to reduce the corona virus, reduce the components and man power. The framework can be utilized to constantly screen the wellbeing parameters of a patient. The body temperature, heart rate and spo2 can be measured from anyplace on the globe utilizing IOT Internet of Things . IOT monitoring of health helps in preventing the spread of disease as well as to get a proper diagnosis of the state of health, even if the doctor is at far distance. We proposed a nonstop checking and control instrument to screen the patient condition and store the patient information’s in server utilizing Wi Fi Module based remote correspondence. Hence the proposed architecture collects the sensor data through ESP32 microcontroller and relays it to the WIFI where it is processed and analyzed for remote viewing. Feedback actions based on the analyzed data can be sent back to the doctor or guardian through Google sheet and or SMS alerts in case of any emergencies. Marupuri Usha Priya | Muthu Pandi K | Priya S | Dr. Kishore Kumar Arjunsingh "IOT Based Patient Health Monitoring System Using WIFI" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-5 , August 2021, URL: https://www.ijtsrd.com/papers/ijtsrd45143.pdf Paper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/45143/iot-based-patient-health-monitoring-system-using-wifi/marupuri-usha-priya
An efficient IoT based biomedical health monitoring and diagnosing system usi...TELKOMNIKA JOURNAL
With the growing and aging population, patient auto monitoring systems are becoming more popular. Smart sensors linked with the internet of things (IoT) make patients' auto monitoring system possible. Nowadays myRIO with LabVIEW is more popular for easy data acquisition, instrument control, and automation. This paper proposed myRIO and IoT based health monitoring and diagnosing system (HMDS) to acquire heartbeat rate, pulse, blood pressure (BP), temperature and activities of the patient using various smart sensors with more accuracy. The acquired raw data from the various sensors had been sent to the myRIO using ESP 8266 Wi-Fi module. The received raw data by the myRIO would be processed to the equivalent medical parameters using LabVIEW and the same might be transferred to the remote monitoring system (RMS) using cloud via a gateway. The abnormalities in the obtained data would be monitored and the diagnosis was made. The experimental setup was developed using various wearable sensors, ESP 8266, myRIO with LabVIEW and cloud with the gateway.
In the last decade the healthcare monitoring systems have drawn considerable attentions of the researchers. The prime goal was to develop a reliable patient monitoring system so that the healthcare professionals can monitor their patients, who are either hospitalized or executing their normal daily life activities. In this work we present a mobile device based wireless healthcare monitoring system that can provide real time online information about physiological conditions of a patient. Our proposed system is designed to measure and monitor important physiological data of a patient in order to accurately describe the status of her/his health and fitness. In addition the proposed system is able to send alarming message about the patient’s critical health data by text messages or by email reports. By using the information contained in the text or e-mail message the healthcare professional can provide necessary medical
advising. The system mainly consists of sensors, the data acquisition unit, microcontroller (i.e., Arduino), and software (i.e., LabVIEW). The patient’s temperature, heart beat rate, muscles, blood pressure, blood glucose level, and ECG data are monitored, displayed, and stored by our system. To ensure reliability and accuracy the proposed system has been field tested. The test results show that our system is able to measure the patient’s physiological data with a very high accuracy.
Internet of Things IoT Based Healthcare Monitoring System using NodeMCU and A...ijtsrd
Today Internet has become one of the important parts of daily life. It has changed how people live, work, play and learn. Internet serves for many purposes educations, finance, Business, Industries, Entertainment, Social Networking, etc. The IoT is connected objects to the Internet and used to control of those objects or remote monitoring. A health care monitoring system is necessary to constantly monitor the patient's physiological parameters. The main advantage of this system is that the results can be viewed at any time and place. The doctors can be notified by using mobile phones messages if patient health is abnormal. In this system, heartbeat sensor, temperature sensor and blood pressure sensor are used. The system can analyze the signal to detect normal or abnormal conditions. In the system, the internet of things IoT is becoming a major platform for many services and applications. The IoT is generally considered as connecting objects to the Internet and using that connection for control of those objects or remote monitoring. Khin Thet Wai | Nyan Phyo Aung | Lwin Lwin Htay "Internet of Things (IoT) Based Healthcare Monitoring System using NodeMCU and Arduino UNO" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd26482.pdfPaper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/26482/internet-of-things-iot-based-healthcare-monitoring-system-using-nodemcu-and-arduino-uno/khin-thet-wai
There are a number of scopes for IoT in order to make a difference in lives of patients. The devices can capture as well as monitor related data regarding patient and allows the providers to obtain the insights without bringing the patients visiting. The procedure can assist the patient results as well as preventing the possible communications for the process that involves risk. However, lack of electronic health record (EHR) system integration is one of the major issues faced while using IoT in healthcare. Some of the EHR systems allow the patients importing data into the record. However, it remains limited to a few dominant where the EHR players as well as leaves providers unspecific of the processing data that can be helpful for the organization to use the process. The challenges for interoperability in order to keep data in distinctive medical devices depend on the purpose and ordering physician.
The propose system gives us the development of a Raspberry Pi based system for Wireless heartbeat, temperature monitoring, eye monitoring for coma patient, saline level Detector. That will easily provide real time information available for many users and can send them alert in critical conditions over Internet. In India many patients are dying because of heart attacks and reason behind this factor is that they are not getting proper help during the period. To give them timely and proper help first want to continuous monitoring of patient health. The fixed monitoring system can be used only when the patient is lying on bed and these systems are huge and only available in the hospitals in ICU. The system is developed for home use by patients that are not in a critical condition but need to be timely monitored by doctor or family. In any critical condition the Mail is send to the doctor or any family member. So that it easily save many lives by providing them quick service. Nakul S. Palkhede | Sachin D. Mali | Prof. Manisha S. Shelar"IoT Based Patient Monitoring" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4 , June 2018, URL: http://www.ijtsrd.com/papers/ijtsrd14216.pdf http://www.ijtsrd.com/engineering/electronics-and-communication-engineering/14216/iot-based-patient-monitoring/nakul-s-palkhede
IOT Based Patient Health Monitoring System Using WIFIijtsrd
Health is given the extreme importance now a days by each country with the advent of the novel corona virus. So in this aspect, an IOT based patient health monitoring system is the best solution for such an epidemic. With an improvement in technology and miniaturization of sensors, there have been attempts to utilize the new technology in various areas to improve the quality of human life. As a result, this project is an attempt to solve a health care problem currently society is facing covid 19.The main objective of the project was to design for to reduce the corona virus, reduce the components and man power. The framework can be utilized to constantly screen the wellbeing parameters of a patient. The body temperature, heart rate and spo2 can be measured from anyplace on the globe utilizing IOT Internet of Things . IOT monitoring of health helps in preventing the spread of disease as well as to get a proper diagnosis of the state of health, even if the doctor is at far distance. We proposed a nonstop checking and control instrument to screen the patient condition and store the patient information’s in server utilizing Wi Fi Module based remote correspondence. Hence the proposed architecture collects the sensor data through ESP32 microcontroller and relays it to the WIFI where it is processed and analyzed for remote viewing. Feedback actions based on the analyzed data can be sent back to the doctor or guardian through Google sheet and or SMS alerts in case of any emergencies. Marupuri Usha Priya | Muthu Pandi K | Priya S | Dr. Kishore Kumar Arjunsingh "IOT Based Patient Health Monitoring System Using WIFI" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-5 , August 2021, URL: https://www.ijtsrd.com/papers/ijtsrd45143.pdf Paper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/45143/iot-based-patient-health-monitoring-system-using-wifi/marupuri-usha-priya
An efficient IoT based biomedical health monitoring and diagnosing system usi...TELKOMNIKA JOURNAL
With the growing and aging population, patient auto monitoring systems are becoming more popular. Smart sensors linked with the internet of things (IoT) make patients' auto monitoring system possible. Nowadays myRIO with LabVIEW is more popular for easy data acquisition, instrument control, and automation. This paper proposed myRIO and IoT based health monitoring and diagnosing system (HMDS) to acquire heartbeat rate, pulse, blood pressure (BP), temperature and activities of the patient using various smart sensors with more accuracy. The acquired raw data from the various sensors had been sent to the myRIO using ESP 8266 Wi-Fi module. The received raw data by the myRIO would be processed to the equivalent medical parameters using LabVIEW and the same might be transferred to the remote monitoring system (RMS) using cloud via a gateway. The abnormalities in the obtained data would be monitored and the diagnosis was made. The experimental setup was developed using various wearable sensors, ESP 8266, myRIO with LabVIEW and cloud with the gateway.
In the last decade the healthcare monitoring systems have drawn considerable attentions of the researchers. The prime goal was to develop a reliable patient monitoring system so that the healthcare professionals can monitor their patients, who are either hospitalized or executing their normal daily life activities. In this work we present a mobile device based wireless healthcare monitoring system that can provide real time online information about physiological conditions of a patient. Our proposed system is designed to measure and monitor important physiological data of a patient in order to accurately describe the status of her/his health and fitness. In addition the proposed system is able to send alarming message about the patient’s critical health data by text messages or by email reports. By using the information contained in the text or e-mail message the healthcare professional can provide necessary medical
advising. The system mainly consists of sensors, the data acquisition unit, microcontroller (i.e., Arduino), and software (i.e., LabVIEW). The patient’s temperature, heart beat rate, muscles, blood pressure, blood glucose level, and ECG data are monitored, displayed, and stored by our system. To ensure reliability and accuracy the proposed system has been field tested. The test results show that our system is able to measure the patient’s physiological data with a very high accuracy.
Internet of Things IoT Based Healthcare Monitoring System using NodeMCU and A...ijtsrd
Today Internet has become one of the important parts of daily life. It has changed how people live, work, play and learn. Internet serves for many purposes educations, finance, Business, Industries, Entertainment, Social Networking, etc. The IoT is connected objects to the Internet and used to control of those objects or remote monitoring. A health care monitoring system is necessary to constantly monitor the patient's physiological parameters. The main advantage of this system is that the results can be viewed at any time and place. The doctors can be notified by using mobile phones messages if patient health is abnormal. In this system, heartbeat sensor, temperature sensor and blood pressure sensor are used. The system can analyze the signal to detect normal or abnormal conditions. In the system, the internet of things IoT is becoming a major platform for many services and applications. The IoT is generally considered as connecting objects to the Internet and using that connection for control of those objects or remote monitoring. Khin Thet Wai | Nyan Phyo Aung | Lwin Lwin Htay "Internet of Things (IoT) Based Healthcare Monitoring System using NodeMCU and Arduino UNO" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd26482.pdfPaper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/26482/internet-of-things-iot-based-healthcare-monitoring-system-using-nodemcu-and-arduino-uno/khin-thet-wai
Recently, in many cases, the reason for a patient staying in the hospital is not that he or she actually needs active medical care. Often, the principal reason for a lengthy stay in the hospital is simply continual observation. Therefore, efforts have been made to avoid acute admissions and long lengths of stay in the hospital. In recent years, emergency admissions and long lengths of stay have become extremely costly. So the focus of health policy has shifted away from the provision of reactive, acute care toward preventive care outside the hospital. As models of care are redesigned, health economies are seeking to provide more care outside large acute centers. The drivers for this shift are two-fold; first, there is a quality-of-care issue and second, there is a resource allocation issue. Being cared for in a patient’s own home is a key aim of current U.K. government health policy and that is driven by an imperative to provide better quality care to people without the need to disrupt their lives. Investment in technologies that enable remote monitoring would lead to long-term gains in terms of hospital finances and patient care.
Real Time Health Monitoring System: A Reviewijtsrd
Generally in critical case patients are supposed to be monitored continuously for their heart rate, oxygen saturation level, blood pressure, body temperature, pulse-oximetry (SPO2) and ECG etc. In the previous methods, the doctors need to be present physically on sight, so that the real time health monitoring system is used every field such as hospital, home care unit, sports using wireless sensor network. This health monitoring system use for chronicle diseases patients who have daily check-up. So, researchers design a system as portable device. Researcher designed different health monitoring system based on requirement. Different platform like Microcontroller, ASIC, PIC microcontroller and embedded systems are used to design the system based on this performance and in the recent years cloud based e-healthcare systems have emerged. In future FPGA based or using IoT we can develop a system which will help to monitor different health parameters. Ajinkya Anant Bandegiri | Pradip Chandrakant Bhaskar"Real Time Health Monitoring System: A Review" 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/ijtsrd7092.pdf http://www.ijtsrd.com/engineering/electronics-and-communication-engineering/7092/real-time-health-monitoring-system-a-review/ajinkya-anant-bandegiri
Ecis final paper-june2017_two way architecture between iot sensors and cloud ...Oliver Neuland
Improving health care with IoT - Research into a weight monitoring bed - ECIS 2017 paper.
Resulting from smart furniture applications research project in Germany, Oliver Neuland and partners from AUT developed a smart bed concept which utilizes weight monitoring for AAL and elderly care. Initially strategies were applied to find meaningful use cases, later a prototype was developed. Here a paper presented during ECIS in Portugal which describes the architecture of the prototype.
Real time health monitoring using gprs technologyRahul Sharma
Advances in sensor technology, personal mobile devices, and wireless broadband communications are enabling the development of an integrated personal mobile health monitoring system that can provide patients with a useful tool to assess their own health and manage their personal health information anytime and anywhere. Personal mobile devices, such as PDAs and mobile phones, are becoming more powerful integrated information management tools and play a major role in many people's lives. Here I focus on designing a Mobile health-monitoring system for people who stay alone at home or suffering from Heart Disease. This system presents a complete unified and mobile platform based connectivity solution for unobtrusive health monitoring. Developing a hardware which will sense heart rate and temperature of a patient, using Bluetooth modem all information lively transmitted to smart phone, from smart phone all information transmitted to server using GPRS. At server the received data compared with the standard threshold minimum and maximum value. The normal range of heart rate is 60 to 135 and the temperature of the patient is said to be normal above 95^F and below 104^F. If at all the rate increases above 145 or decreases below 55,it may be fatal and if it crossed this threshold limit then SMS will be sent to the relative of patient and Doctors along with measured values. The build-in GPS further provides the position information of the monitored person. The remote server not only collects physiological measurements but also tracks the position of the monitored person in real time. For transmitting data from Smartphone to the server using GPRS, here we need to create a website on data will be continuously transmitted from Smartphone to the website and from website data will be downloaded continuously on the server.
With rapid development of economies, growth of aging population and the prevalence of chronic diseases across the world, there is an urgent need to find new ways to improve patient outcomes, increase access to care, and reduce the cost of medical care. A health care monitoring system is necessary to constantly monitor patient’s physiological parameters. The tele-medical system focuses on the measurement and evaluation of vital parameters e.g. temperature, electrocardiogram (ECG), heart rate variability, fall detection etc. This will enable doctors and care givers to observe patients without having to be physically present at their bedside, be it in the hospital or in their home.
In the present research, the synthesis of silver nanoparticles by the green method is done using stem and leaves aqueous
extract of Tinospora cordifolia (T.C). The pathway of nanoparticles formation is by means of reduction of silver nitrate by
extracts, which act as both reducing and capping agents. The silver nanoparticles characterized by UV-Vis-spectrometer, Fourier
transform infra-red spectroscopy, X-ray diffractometer, Scanning electron microscopy, Energy dispersive spectroscopy. The sizes
of the synthesized silver nanoparticles are found to be in the range of 27- 58 nm. The energy dispersive spectrum confirmed the
presence of silver metal. The silver nanoparticles synthesized in this process have the efficient antimicrobial activity against
pathogenic bacteria like Bacillus subtilis, Escherichia coli, Klebsiella pneumonia, proteus mirabilis, Staphylococcus aureus
and Serratia marcescens using paper disc diffusion method.
Recently, in many cases, the reason for a patient staying in the hospital is not that he or she actually needs active medical care. Often, the principal reason for a lengthy stay in the hospital is simply continual observation. Therefore, efforts have been made to avoid acute admissions and long lengths of stay in the hospital. In recent years, emergency admissions and long lengths of stay have become extremely costly. So the focus of health policy has shifted away from the provision of reactive, acute care toward preventive care outside the hospital. As models of care are redesigned, health economies are seeking to provide more care outside large acute centers. The drivers for this shift are two-fold; first, there is a quality-of-care issue and second, there is a resource allocation issue. Being cared for in a patient’s own home is a key aim of current U.K. government health policy and that is driven by an imperative to provide better quality care to people without the need to disrupt their lives. Investment in technologies that enable remote monitoring would lead to long-term gains in terms of hospital finances and patient care.
Real Time Health Monitoring System: A Reviewijtsrd
Generally in critical case patients are supposed to be monitored continuously for their heart rate, oxygen saturation level, blood pressure, body temperature, pulse-oximetry (SPO2) and ECG etc. In the previous methods, the doctors need to be present physically on sight, so that the real time health monitoring system is used every field such as hospital, home care unit, sports using wireless sensor network. This health monitoring system use for chronicle diseases patients who have daily check-up. So, researchers design a system as portable device. Researcher designed different health monitoring system based on requirement. Different platform like Microcontroller, ASIC, PIC microcontroller and embedded systems are used to design the system based on this performance and in the recent years cloud based e-healthcare systems have emerged. In future FPGA based or using IoT we can develop a system which will help to monitor different health parameters. Ajinkya Anant Bandegiri | Pradip Chandrakant Bhaskar"Real Time Health Monitoring System: A Review" 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/ijtsrd7092.pdf http://www.ijtsrd.com/engineering/electronics-and-communication-engineering/7092/real-time-health-monitoring-system-a-review/ajinkya-anant-bandegiri
Ecis final paper-june2017_two way architecture between iot sensors and cloud ...Oliver Neuland
Improving health care with IoT - Research into a weight monitoring bed - ECIS 2017 paper.
Resulting from smart furniture applications research project in Germany, Oliver Neuland and partners from AUT developed a smart bed concept which utilizes weight monitoring for AAL and elderly care. Initially strategies were applied to find meaningful use cases, later a prototype was developed. Here a paper presented during ECIS in Portugal which describes the architecture of the prototype.
Real time health monitoring using gprs technologyRahul Sharma
Advances in sensor technology, personal mobile devices, and wireless broadband communications are enabling the development of an integrated personal mobile health monitoring system that can provide patients with a useful tool to assess their own health and manage their personal health information anytime and anywhere. Personal mobile devices, such as PDAs and mobile phones, are becoming more powerful integrated information management tools and play a major role in many people's lives. Here I focus on designing a Mobile health-monitoring system for people who stay alone at home or suffering from Heart Disease. This system presents a complete unified and mobile platform based connectivity solution for unobtrusive health monitoring. Developing a hardware which will sense heart rate and temperature of a patient, using Bluetooth modem all information lively transmitted to smart phone, from smart phone all information transmitted to server using GPRS. At server the received data compared with the standard threshold minimum and maximum value. The normal range of heart rate is 60 to 135 and the temperature of the patient is said to be normal above 95^F and below 104^F. If at all the rate increases above 145 or decreases below 55,it may be fatal and if it crossed this threshold limit then SMS will be sent to the relative of patient and Doctors along with measured values. The build-in GPS further provides the position information of the monitored person. The remote server not only collects physiological measurements but also tracks the position of the monitored person in real time. For transmitting data from Smartphone to the server using GPRS, here we need to create a website on data will be continuously transmitted from Smartphone to the website and from website data will be downloaded continuously on the server.
With rapid development of economies, growth of aging population and the prevalence of chronic diseases across the world, there is an urgent need to find new ways to improve patient outcomes, increase access to care, and reduce the cost of medical care. A health care monitoring system is necessary to constantly monitor patient’s physiological parameters. The tele-medical system focuses on the measurement and evaluation of vital parameters e.g. temperature, electrocardiogram (ECG), heart rate variability, fall detection etc. This will enable doctors and care givers to observe patients without having to be physically present at their bedside, be it in the hospital or in their home.
In the present research, the synthesis of silver nanoparticles by the green method is done using stem and leaves aqueous
extract of Tinospora cordifolia (T.C). The pathway of nanoparticles formation is by means of reduction of silver nitrate by
extracts, which act as both reducing and capping agents. The silver nanoparticles characterized by UV-Vis-spectrometer, Fourier
transform infra-red spectroscopy, X-ray diffractometer, Scanning electron microscopy, Energy dispersive spectroscopy. The sizes
of the synthesized silver nanoparticles are found to be in the range of 27- 58 nm. The energy dispersive spectrum confirmed the
presence of silver metal. The silver nanoparticles synthesized in this process have the efficient antimicrobial activity against
pathogenic bacteria like Bacillus subtilis, Escherichia coli, Klebsiella pneumonia, proteus mirabilis, Staphylococcus aureus
and Serratia marcescens using paper disc diffusion method.
GSM technology is used to monitor the different parameters of an ICU patient remotely and also control over medicine dosage is provided. Measurements of vital signs and behavioral patterns can be translated into accurate predictors of health risk ,even at an early stage and can be combined with alarm triggering systems in order to initiate the appropriate actions. The conventional methods including wet adhesive Ag/AgCl electrodes for HR and HRV, the capnograph device for respiratory status and pulse oximetry for oxyhemoglobin saturation provide excellent signals but are expensive, troublesome and inconvenient. A method to monitor physiological information based on GSM offers a new means for health monitoring. In this paper, we review the latest developments in monitoring and discuss the challenges and future directions for this field.
IoT and machine learning (ML) are becoming increasingly efficient in the medical and telemedicine areas all around the world. This article describes a system that employs latest technology to give a more accurate method of forecasting disease. This technology uses sensors to collect data from the body of the patient. The obtained sensor information is collected with NodeMcU before being transferred to the Cloud Platform "ThinkSpeak" through an ESP8266 Wi-Fi module. ThinkSpeak is a cloud server that provides real-time data streams in the cloud. For the best results, data currently saved in the cloud is evaluated by one of the machine learning algorithms, the KNN algorithm. Based on the findings of the analysis and compared with the data sets, the disease is predicted and a prescription for the relevant disease is issued.
The epidemic growth of wireless technology and mobile services in this epoch is creating a great impact on our life style. Some early efforts have been taken to utilize these technologies in medical industry. In this field, ECG sensor based advanced wireless patient monitoring system concept is a new innovative idea. This system aims to provide health care to the patient. We have sensed the patient’s ECG through 3 lead electrode system via AD8232 which amplifies minor and small bio-signals to the arduino which processes them, along with saline level. Saline level is detected through IR sensors. The output of the electrical pulse is shown with the serial monitor. The saline level is indicated by LCD. The major output ECG analog signal is displayed on serial plotter. The outputs are displayed through mobile application.
mHEALTH: REVIEW OF MOBILE HEALTH MONITORING SYSTEMSIAEME Publication
With rise in world population, cost of healthcare also increased rapidly which led to the demand of low cost health monitoring solutions. In recent times, non-invasive wearable sensors have played an important role in healthcare applications. With advancement in wireless communication technologies, ubiquitous computing and embedded systems, the sensors need not be invasive anymore to accurately monitor a patient's health status, rather can be managed by user itself so as to keep a record of one's health condition. The advancement of healthcare technologies has enabled patients to monitor their vital health parameters on their own, and saves them from regular tiring hospital visits & high cost of laboratory medical checkups. It has also reduced the burden of healthcare service providers, thereby reducing overall medical costs. This paper provides a review of current status of mobile healthcare applications.
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.
A gsm based intelligent wireless mobile patient monitoring systemeSAT Journals
Abstract Monitoring one’s heart rate and body temperature continuously from a remote area is impossible for a medical expert by using typical monitoring devices. To overcome this problem we can implement a GSM based system using microcontroller and LM35 sensor which is low-cost and use-friendly. Here, a heart beat sensor is used to detect the heart rate and an LM35 sensor to sense the body temperature. These signals are processed by a PIC microcontroller. Then, an SMS alert will be sent to the medical expert by using a GSM module. Thus, doctors can monitor the health condition of a patient continuously from a remote place and can suggest the patient about taking an immediate remedy. As a result, we can save many lives by providing them a quick service using this system. Keywords: Telemedicine, Remote monitoring system, Heart Beat Rate, Body Temperature, Photoplethysmograph, LM35, Microcontroller, GSM Modem etc…
Activity and health monitoring systems
This paper presents an Open Platform Activity and health monitoring systems which are also called e-Health systems. These systems measure and store parameters that reflect changes in the human body. Due to continuous monitoring (e.g. in rest state and in physical effort state), a specialist can learn about the individual's physiological parameters. Because the human body is a complex system, the examiner can notice some changes within the body by looking at the physiological parameters. Six different sensors ensure us that the patient's individual parameters are monitored. The main components of the device are: A Raspberry Pi 3 small single-board computer, an e-Health Sensor Platform by Cooking-Hacks, a Raspberry Pi to Arduino Shields Connection Bridge and a 7-inch Raspberry Pi 3 touch screen. The processing unit is the Raspberry Pi 3 board. The Raspbian operating system runs on the Raspberry Pi 3, which provides a solid base for the software. Every examination can be controlled by the touch screen. The measurements can be started with the graphical interface by pressing a button and every measured result can be represented on the GUI’s label or on the graph. The results of every examination can be stored in a database. From that database the specialist can retrieve every personalized data
As elderly population increases day by day caretaking demands are also increasing. Hence patient health monitoring systems are gaining importance these days. This paper is based on monitoring of patients. We have designed and developed a reliable, energy efficient patient monitoring system. It is able to send parameters of patient in real time. It enables the doctors to monitor patient's health parameters (temp, heartbeat, ECG, position) in real time. In the current proposed system the patient health is continuously monitored using different sensors which is connected to the Arduino board. And the acquired data is send to the server using Ethernet shield attached to the Arduino board. If any of the parameter values goes beyond the threshold value an alert is given to the doctor using an Android application installed in the doctor’s smartphone.
Internet of Things (Iot) is an ecosystem of
connected physical object that are accessible through the
internet. IOT devices are used in many application fields which
makes the user’s day to day life more comfortable. These
devices are used to collected temperature, blood pressure, and
sugar level etc.
Implementation Of Real Time IoT Based Health monitoring systemkchakrireddy
The main aim of this project is to interconnect the available medical resources and offer smart, reliable, and effective healthcare service to elderly people. Health monitoring for active and assisted living is one of the paradigms that can use the IOT advantages to improve the elderly lifestyle in this project we present an IOT architecture customized for healthcare applications. The proposed architecture collects the data and relays it to the cloud where it is processed and analyzed. Feedback actions based on the analyzed data can be sent back to the user.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
NO1 Uk best vashikaran specialist in delhi vashikaran baba near me online vas...Amil Baba Dawood bangali
Contact with Dawood Bhai Just call on +92322-6382012 and we'll help you. We'll solve all your problems within 12 to 24 hours and with 101% guarantee and with astrology systematic. If you want to take any personal or professional advice then also you can call us on +92322-6382012 , ONLINE LOVE PROBLEM & Other all types of Daily Life Problem's.Then CALL or WHATSAPP us on +92322-6382012 and Get all these problems solutions here by Amil Baba DAWOOD BANGALI
#vashikaranspecialist #astrologer #palmistry #amliyaat #taweez #manpasandshadi #horoscope #spiritual #lovelife #lovespell #marriagespell#aamilbabainpakistan #amilbabainkarachi #powerfullblackmagicspell #kalajadumantarspecialist #realamilbaba #AmilbabainPakistan #astrologerincanada #astrologerindubai #lovespellsmaster #kalajaduspecialist #lovespellsthatwork #aamilbabainlahore#blackmagicformarriage #aamilbaba #kalajadu #kalailam #taweez #wazifaexpert #jadumantar #vashikaranspecialist #astrologer #palmistry #amliyaat #taweez #manpasandshadi #horoscope #spiritual #lovelife #lovespell #marriagespell#aamilbabainpakistan #amilbabainkarachi #powerfullblackmagicspell #kalajadumantarspecialist #realamilbaba #AmilbabainPakistan #astrologerincanada #astrologerindubai #lovespellsmaster #kalajaduspecialist #lovespellsthatwork #aamilbabainlahore #blackmagicforlove #blackmagicformarriage #aamilbaba #kalajadu #kalailam #taweez #wazifaexpert #jadumantar #vashikaranspecialist #astrologer #palmistry #amliyaat #taweez #manpasandshadi #horoscope #spiritual #lovelife #lovespell #marriagespell#aamilbabainpakistan #amilbabainkarachi #powerfullblackmagicspell #kalajadumantarspecialist #realamilbaba #AmilbabainPakistan #astrologerincanada #astrologerindubai #lovespellsmaster #kalajaduspecialist #lovespellsthatwork #aamilbabainlahore #Amilbabainuk #amilbabainspain #amilbabaindubai #Amilbabainnorway #amilbabainkrachi #amilbabainlahore #amilbabaingujranwalan #amilbabainislamabad
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
Hierarchical Digital Twin of a Naval Power SystemKerry Sado
A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
1. International Journal of Advanced Engineering, Management and Science (IJAEMS) [Vol-4, Issue-6, Jun- 2018]
https://dx.doi.org/10.22161/ijaems.4.6.2 ISSN: 2454-1311
www.ijaems.com Page | 441
Intelligent Healthcare Monitoring in IoT
Kaviya P1
, Antony Seba P2
1,2
Assistant Professor, Department of Information Technology, Kamaraj College of Engineering and Technology
Madurai, Tamil Nadu, India
1
kaviyaap@gmail.com, 2
sebaantony97@gmail.com
Abstract— The developing of IoT-based health care
systems must ensure and increase the safety of the patients,
their quality of life and other health care activities. We
may not be aware of the health condition of the patient
during the sleeping hours. To overcome this problem. This
paper proposes an intelligent healthcare monitoring
system which monitors and maintains the patient health
condition at regular intervals. The heart rate sensor and
temperature sensor would help us analyze the patients’
current health condition. In case of major fluctuations in
consecutive intervals a buzzer is run in order to notify the
hospital staff and doctors. The monitored details are
stored in the cloud "ThingSpeak". The doctor can view the
patient health condition using Virtuino simulator. This
system would help in reducing the random risks of tracing
a patient medical highly. Arduino UNO is used to
implement this intelligent healthcare monitoring system.
Keywords— Arduino UNO, Heart Rate Sensor,
Temperature Sensor, Buzzer, ThinkSpeak, Virtuino
simulator.
I. INTRODUCTION
Nowadays Internet of Things based health care systems
play a significant role in Information and Communication
Technologies. It has a remarkable contribution in the
development of medical information system. The tracking,
tracing, and monitoring of the patients health care
activities are challenging research directions. With the
development of world, Health monitoring system is used
every field such as hospital, home care unit, sports. This
health monitoring system use for chronicle diseases
patients who have daily check-up. Normally it is difficult
to keep track on abnormalities in heartbeat count for
patient itself manually. The average heartbeat per minute
for 25-year old ranges between 140-170 bpm while for a
60-year old it is around between 115-140 bpm and body
temperature is 37degree Celsius or 98.6 Fahrenheit.
Patients are not well versed with manual treatment which
doctors normally use for tracking the count of heartbeat.
There are various instruments available in market to keep
track on internal body changes.
Different platform like Microcontrollers are used to design
the system based on this performance. Different
biomedical sensors like temperature sensor, heart rate
sensor are used for monitoring the health condition which
is integrated on single system on chip. If any varied
change takes place it is notified.
This notification would help to take an appropriate action
at an instance of a time. This would save patients from the
future health problem which would arise. This would also
help patient's concern doctor to take an appropriate action
at proper time.
Another issue, we may not be aware of the health
condition of the patient during the sleeping hours. To
overcome this problem, this paper proposes an intelligent
healthcare monitoring system which monitors and
maintains the patient health condition at regular intervals.
The heart rate sensor and temperature sensor would help
us analyze the patients’ current health condition. These
two sensors are used to monitor the health condition of the
patients especially at the hospital at equal intervals. In case
of major fluctuations in consecutive intervals a buzzer is
run in order to notify the hospital staff and doctors. These
monitored details are stored in the cloud "ThingSpeak".
The doctor can monitor the patient health condition
through Virtuino simulator using the IP address of the
cloud. This project would help in reducing the random
risks of tracing a patient medical highly.
The rest of the paper is categorized as follows. We discuss
previous works on related topics in Section II. Section III
describes proposed system in detail. Section IV provides
the system methodology. Section V provides the results.
Section VI finally concludes the paper.
II. RELATED WORKS
Ghulam Muhammad, et al [1] have proposed an automatic
voice disorder detection system is used to monitor the
resident of all age group and professional backgrounds. To
analyze the difference between intensity of normal and
disorder subjects, the LP co- efficient based spectrum is
computed. This leads to high risk of prevalence of voice
disorders. Voice complications have the negative impacts
over the life of individuals. A smart health care system can
assist the residents of different professions and of different
age groups. To avoid these circumstances, a smart
healthcare system is proposed and developed. The
proposed system detects the voice disorder by determining
the source signal from the speech through the linear
2. International Journal of Advanced Engineering, Management and Science (IJAEMS) [Vol-4, Issue-6, Jun- 2018]
https://dx.doi.org/10.22161/ijaems.4.6.2 ISSN: 2454-1311
www.ijaems.com Page | 442
prediction analysis. The analysis calculates the features
from normal and disordered subjects. The proposed system
used the computed spectrum to differentiate between
normal and disordered subjects.
Prashant Salunke, et al [2] have proposed a Patient’s
physiological information is managed and recorded for
long time using wearable sensors. This system is expected
to reduce costs, increase the quality of life, and enrich the
user's experience. This system reduces the time of patient
to visit to doctor every time he/she needs to check ECG
and temperature and pulse oxygen in blood. Doctors and
hospitals could make use of real-time data collected on the
cloud platform to provide fast and efficient solution.
Doctors who are overwhelmed with patient load can use
this system and also it is beneficial for rural patients who
have less access to health care facilities.
Sumalatha, et al [3] have proposed an IoT based
Health Monitoring System which demonstrates collection
and interoperation of data. The data provided to the doctor
can support the emergency medical service for a patient for
the improvement of healthcare. The sensors and Raspberry
Pi 3 Model B are the physical objects equipped for
communicating with the doctor though internet. It helps
the doctor to control the overall state of monitored patients
independently and easily. Also the patient information can
be monitored from anywhere in the world. The system
comprises of web server part. The sensors gather the
medical information of the patient that include patient’s
heart rate, blood pressure, and pulse rate and the physical
examine of the patient through the Pi camera, and this
information is sent to the Internet through Raspberry Pi
which acts as a server.
Prabha Sundaravadivel, et al [4] have discussed an
architecture for an ambulatory health monitoring system
using a body coupled communication channel. The
proposed architecture can be used for smart health
monitoring as part of the Internet of Things. The design
was validated using Simulink. A 31 % power reduction
was observed in the monitoring system when human body
communication happened.
S.Amutha et al [5] have proposed an IoT based wireless
healthcare monitoring. They have developed a system for
remote patient monitoring in healthcare field. In hospitals,
patient’s physiological parameters are needed to be
constantly monitored, usually done by a doctor or other
paramedical staff for maintaining a record of it. It is a
tedious method. The primary function of this system is to
constantly monitor inpatients and outpatients physiological
parameters such as pulse rate, temperature using wireless
communication. This system continuously reads patient’s
pulse rate or heart beat rate and body temperature through
Fingertip Measuring Heart rate sensor and Thermistor
Temperature Sensor. This system enables high risk
patients to be timely checked and enhance the quality of a
life of patients.
III. PROPOSED WORK
In this work, we monitor the heart beat and body
temperature using the heart rate sensor and temperature
sensor (LM35). The data are collected and stored in the
cloud "ThingSpeak". In case of abnormal change in the
heart rate or body temperature the buzzer in the system
alerts the nearby person and sends a message to the
consultant doctor‘s mobile phone. The stored data in cloud
can be viewed by using mobile application. Virtuino
simulator which shows the current patient‘s condition to
the doctor from anywhere.
The system is a combination of hardware and software
components. The hardware part consists of embedded
system and software is the mobile app designed using
Android Studio.
Fig. 1: Hardware Connection
3.1 Reading Inputs
3.1.1 Temperature Sensor
Fig. 2: Temperature Sensor Connection
Fig.2 shows the connection between the Arduino and
LM35. Here the green colour wire is connected to the
analog pin A1, orange colour wire is connected to Vcc and
blue colour wire is connected to ground in the arduino
board.
3. International Journal of Advanced Engineering, Management and Science (IJAEMS) [Vol-4, Issue-6, Jun- 2018]
https://dx.doi.org/10.22161/ijaems.4.6.2 ISSN: 2454-1311
www.ijaems.com Page | 443
ALGORITHM
1. Collect body temperature as degree Celsius or
degree of Fahrenheit.
2. Convert voltage -> Celsius
3. Temp=(output voltage / 1024 ) * 5000
4. Cel=Temp / 10
5. Finally display the output in the form of ‘C.
3.1.2 Heart Rate Sensor
Fig. 3: Heartbeat Sensor Connection
Fig. 3 shows the connection between the Arduino and
heart beat sensor. Here the pink colour wire is connected
to the analog pin A1, Red colour wire is connected to Vcc
and black colour wire is connected to ground in the
arduino board.
ALGORITHM
1. Collect the heart rate from the patient.
2. Check the conditions
if((millis() - oldTime) > 1000)
beat=beatCount*60;
oldTime = millis();
beatCount=0;
3. Increment the count value
4. Finally the value is displayed in the serial
monitor.
3.2 Processing the Data
It analyze the inputs and checks the condition whether the
heartbeat, body temperature are normal or abnormal. To
display the temperature results on the web server, a
ThingSpeak is used.
3.3 Emergency Alerts and Mobile App
If there is a change in the body temperature and heartbeat,
the buzzer alters the nearby person and the message will
send to the doctor. Doctor can continuously monitor the
patient's health condition on his smart phone using a
Mobile app.
The patients’ history will be stored in the cloud platform.
The doctor can access the information from anywhere at
any time. Using the IP address of the ThingSpeak, the
doctor can view the current health status of the respective
patient.
IV. SYSTEM ARCHITECTURE
Temperature sensor and heart rate sensor are used to sense
the patients’ health condition. Sensors are connected to the
Arduino microcontroller which controls the signals. If
there is a change in the body temperature and heart beat,
the buzzer alerts the nearby people. As soon as the buzzer
rings, the message will send to the corresponding doctor.
Fig. 4: System Architecture
The sensed data are sent to the cloud (i.e.) ThingSpeak. It
is an open source to store and retrieve and the data are
been stored in a publically. The data are represented in the
form of graph or excel sheet.
The doctor can view the information of the patient at
anytime and anywhere using Virtuino Simulator. This
Simulator is in-build app in play store. By using the IP
address of ThingSpeak channel the doctor can view the
current condition of the patient. In this app, it shows the
recent temperature and heart beat status of the respective
patients.
Finally the doctor can view the patients’ details at anytime
and anywhere using the Virtuino simulator and
ThingSpeak. Health monitoring system architecture is
shown in Fig. 4.
V. RESULT AND DISCUSSION
5.1 Temperature Reading
Fig. 5 shows the temperature result which is displayed on
the serial monitor. The resultant data will send to the cloud
for doctor’s reference.
4. International Journal of Advanced Engineering, Management and Science (IJAEMS) [Vol-4, Issue-6, Jun- 2018]
https://dx.doi.org/10.22161/ijaems.4.6.2 ISSN: 2454-1311
www.ijaems.com Page | 444
Fig. 5: Temperature Results
Table 1 shows the condition of the human body
temperature. If the temperature level increases above 42'C
or decreases below 25'C, buzzer alerts the nearby person
and message send to the doctor’s concern mobile phone.
Table. 1: Temperature data
Temperature Causes
<25 'C Low
>42'C High
37'C Normal
5.2 Heart Beat Reading
Table 2 shows the condition of the patients' heart beat. If
the heart beat level increases above 120 BPM or decreases
below 60 BPM, buzzer alerts the nearby person and
message send to the doctor’s concern mobile phone.
Table. 2: Heart Beat Data
Heart Beat Causes
<60 bpm Low
>120 bpm High
60-120 bpm Normal
Fig. 6 gives the heart beat result which is displayed on the
serial monitor. The resultant data are sent to cloud for
doctor’s reference.
Fig. 6: Heart Beat Results
Table 7.2 shows the condition of the patients' heart beat. If
the heart beat level increases above 120 BPM or decreases
below 60 BPM, buzzer alerts the nearby person and
message send to the doctor’s concern mobile phone.
Fig. 7: Data in ThinkSpeak
The data are collected from the system and pushed into the
ThingSpeak. In ThingSpeak, we created two channels.
Temperature values are stored in first channel whereas
heart beat values are stored in second channel.
Fig. 8: Data in ThinkSpeak (.CSV)
In Fig. 8, the data are exported in .csv file format to view
the health condition of the patients' as show in the Fig. 7.
Fig. 9: Virtuino Simulator Results in Mobile
5. International Journal of Advanced Engineering, Management and Science (IJAEMS) [Vol-4, Issue-6, Jun- 2018]
https://dx.doi.org/10.22161/ijaems.4.6.2 ISSN: 2454-1311
www.ijaems.com Page | 445
Virtuino is an Android app for monitoring sensors or
control electrical devices via Bluetooth, local Wi-Fi or
Internet. In this Simulator, doctor can check the current
heart beat and temperature value for the patient. Figure 7.6
shows the current value of the patients' health conditions.
It can be viewed through the doctor's mobile phone by
using the IP address.
VI. CONCLUSION
The proposed health monitoring system monitors and
tracks the patients’ health conditions like body
temperature and heartbeat periodically. The buzzer in the
system alerts the nearby person and the message is send to
the consultant doctor’s mobile phone in case of any
emergency. The data are stored in the cloud
“ThingSpeak”. Hence, the health tracking professionals
can monitor the patients from anywhere at any time. Thus
our intelligent health monitoring system is able to transmit
the sensed data to the doctor’s PC or mobile Phone. This
project would help in reducing the random risks of tracing
a patient medical highly.
REFERENCES
[1] Antonio J. Jara, Miguel A. Zamora-Izquierdo, and
Antonio F. Skarmeta. (2015). Interconnection
Framework for Health and Remote Monitoring Based
on the Internet of Things, IEEE Journal On Selected
Areas In Communications/Supplement, Vol. 31, No.
9.
[2] Chi-chun Lo, Tsung-yiChien, Jeng-shyang. (2016).
Novel Non-Contact Control System for Medical
Healthcare of Disabled Patients, Received April 1,
2016, accepted April 13, 2016, date of publication
May 11, 2016, date of current version October 6,.
[3] IulianaChiuchisan, Hariton-
NicolaeCostin,OanaGeman. (2014). Adopting the
Internet of Things Technologies in Health Care
Systems, 2014 International Conference and
Exposition on Electrical and Power Engineering (EPE
2014).
[4] Natarajan.K. (2016). Smart Health Care System Using
Internet of Things, Journal of Network
Communications and Emerging Technologies
(JNCET) Volume 6, Issue 3, ISSN: 2395-5317.
[5] PrabhaSundaravadivel and Saraju P. Mohanty. (2016).
Exploring Human Body Communications for IoT
Enabled Ambulatory Health Monitoring Systems,
IEEE International Symposium on Nanoelectronic
and Information Systems (iNIS),
DOI: 10.1109/iNIS.2016.016.
[6] Prashant Salunke and RasikaNerkar. (2017). IoT
Driven Healthcare System for Remote Monitoring of
Patients, International Journal for Modern Trends in
Science and Technology Vol. 03, Issue. 06.
[7] Saraswathi, S. Amutha. (2016). “IoT Based Wireless
Healthcare Monitoring, IJETST-Vol.03., Issue 05May
ISSN 2348-9480.
[8] Sumalatha V and Dr. R. C. Biradar. (2016). IoT based
Health Monitoring System, IJRT Vol.05., Issue. 05.
[9] Zainab H. Ali. (2017). Internet of Things (IoT):
Definitions, Challenges and Recent Research
Directions, International Journal of Computer
Application, Vol.128., Issue.01., DOI:
10.5120/ijca2015906430.
[10]Zulfiqar Ali, Ghulam Muhammad, And Mohammed
F. Alhamid. (2016). An Automatic Health Monitoring
System for Patients Suffering From Voice
Complications in Smart Cities, IEEE International
Conference on Multimedia & Expo Workshops
(ICMEW), DOI: 10.1109/ICMEW.2016.7574719.