PPT_Project.pptx
•Download as PPTX, PDF•
0 likes•1 view
The document presents a health monitoring system using IoT that measures a person's heart rate and body temperature. The system uses an Arduino microcontroller, pulse and temperature sensors, and an ESP8266 module to record and transmit health data to allow a doctor and patient to communicate remotely. It aims to develop a monitoring system that stores patient data over time using a database. Future enhancements could provide real-time monitoring, lower costs, and increased collaboration between patients and doctors.
Report
Share
Report
Share
Recommended
Android Based Patient Health Monitoring System
1) This document describes an Android-based patient health monitoring system that uses wearable sensors and a mobile application.
2) The system includes sensors that measure a patient's temperature, pulse, blood pressure, and humidity. The sensor data is sent via Bluetooth to an Android application on the patient's phone and from there to a server via WiFi.
3) The system allows doctors to monitor a patient's vital signs in real-time from their desktop. It also tracks the patient's location using latitude and longitude. An alert is triggered if the vital signs exceed preset thresholds.
A literature Survey: Health-care Monitoring System
This document summarizes literature on health care monitoring systems using wireless sensors and cloud storage. It discusses technologies like ZigBee, embedded microcontrollers, and Bluetooth that are used in wireless sensor networks to monitor patient vitals. The data collected is stored in the cloud and can be accessed by doctors. Challenges discussed include ensuring reliability, quality of service, security, and privacy of patient data. The literature proposes systems for continuous remote patient monitoring, early warning systems, and alerting doctors and caregivers of any issues.
IOT_BASED_AUTOMATED_HEALTHCARE_SYSTEM.pptx
An IoT-based healthcare system leverages Internet of Things technology to improve the quality and efficiency of healthcare services. It involves the use of interconnected devices and sensors to monitor patients' health remotely and in real time. These devices can track vital signs such as heart rate, blood pressure, body temperature, and glucose levels, among others. The data collected is transmitted securely to healthcare providers, who can analyze it and provide timely interventions when necessary. IoT healthcare systems can also integrate with electronic health records, offering a comprehensive view of a patient's medical history and current health status. This enables personalized care and more informed medical decisions. Additionally, IoT can facilitate telemedicine, allowing patients to consult with healthcare professionals from the comfort of their homes. This can improve access to healthcare, especially for those in remote or underserved areas. However, the implementation of IoT-based healthcare systems also requires careful attention to data privacy and security to protect sensitive patient information. Overall, IoT in healthcare promises to revolutionize the industry by enhancing patient outcomes and streamlining healthcare delivery.
Transforming Healthcare with Online Health Monitoring Systems
This document discusses the development and benefits of online health monitoring systems. It describes how these systems use wearable sensors and devices to remotely collect patient health data like temperature, heart rate, and oxygen levels. The data is transmitted wirelessly to central servers where it is analyzed using artificial intelligence. Healthcare providers can access this data through web portals to track patients and identify potential issues. The document outlines the components of these systems, including sensors, mobile apps, and servers. It also explores how these systems could improve access to healthcare, reduce costs by preventing hospitalizations, and enhance outcomes through early detection of health problems. While promising, the document notes challenges like ensuring the accurate and secure collection and storage of sensitive patient data.
J05136669
This document describes an intelligent health care monitoring system using a wireless sensor network. It discusses using sensors to monitor patient vital signs like temperature, humidity, and heart rate. Sensor data is transmitted via CC2500 low power wireless radios to a centralized control room. The system aims to improve patient monitoring by making equipment more portable and allowing remote access to patient data by doctors through mobile devices. It concludes the proposed system can check various health parameters in real-time to monitor patient health more efficiently through energy efficient wireless communication between sensor nodes.
HMS synop.pdf
kkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkbbb67yffffufuyyufugogpiguhgigigihhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjfffffffffffffffffffffffffffffffffffffffffffffffffffffffff yuuuoyyoooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooo ooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooowuwu7sget wuyuywhsu 2w7yd7y7eyw7y 7wte7w7 ye7tw 7w7ey w77wq 7w7y87yeweu23gwr eu7rw8y73 97 ewhe uweih 8eh8 w98es8 98we 98 98 8we98 f9w8u3e899ewe 98weu89 9uew9uwe9 98ewu98weu 9ue98 98w 8ew98u ew0ouw9eu 98euurhueh 8ew8ef98ed8uw89uew8uew 9ew8eoiuhewio f u3g7ef uuegug 76gf 8y7ery 87y78y7y87ry7t 47y78twe7t97y4r euueury 3uhtuyyeteiytruyt euettiru8tyugy uyfygfifyi iugut87ugut iuugiugu77ui hhihiuhuo houhuiy7 7i7y 7i7 y7yfyfiyf8igiygygyyggyigygt 7tiyyyygggggggggyiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiug t7 t7y7y7y7y8 yo y 9y y7 gtuu7gtu7u7gu7uigiugggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggg uu uuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuukkkkkkkkkkkkkkk kkkkkkkk k ugtuhiuwyyejhv 3e7yeyew 97yeyr weayowehs7yf9 7ysvshef ww78 we w7eg e7 uewuhuhueyu fery7w 7yr78te88888888888888888888888888888888888888888888888888888888888888888888888888888888888888888888888bhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhh jjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjj
IRJET- Design and Implementation of Health Monitoring System
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.
Utilizing communication techniques in IoT-based healthcare monitoring systems...
This document reviews communication techniques used in IoT-based healthcare monitoring systems. It discusses technologies like Wi-Fi, Bluetooth, Zigbee and LoRaWAN that have been used in various healthcare monitoring applications. The key findings are:
1) Wi-Fi, Bluetooth and Zigbee have shorter ranges limited to indoor use, while LoRaWAN enables long-range communication for both indoor and outdoor monitoring.
2) Many systems integrate short-range technologies like Bluetooth with LoRaWAN to obtain longer communication ranges.
3) While Arduino Uno is commonly used, it has limitations like higher power consumption and need for external boards. ESP32 is presented as an alternative with integrated Wi
Recommended
Android Based Patient Health Monitoring System
1) This document describes an Android-based patient health monitoring system that uses wearable sensors and a mobile application.
2) The system includes sensors that measure a patient's temperature, pulse, blood pressure, and humidity. The sensor data is sent via Bluetooth to an Android application on the patient's phone and from there to a server via WiFi.
3) The system allows doctors to monitor a patient's vital signs in real-time from their desktop. It also tracks the patient's location using latitude and longitude. An alert is triggered if the vital signs exceed preset thresholds.
A literature Survey: Health-care Monitoring System
This document summarizes literature on health care monitoring systems using wireless sensors and cloud storage. It discusses technologies like ZigBee, embedded microcontrollers, and Bluetooth that are used in wireless sensor networks to monitor patient vitals. The data collected is stored in the cloud and can be accessed by doctors. Challenges discussed include ensuring reliability, quality of service, security, and privacy of patient data. The literature proposes systems for continuous remote patient monitoring, early warning systems, and alerting doctors and caregivers of any issues.
IOT_BASED_AUTOMATED_HEALTHCARE_SYSTEM.pptx
An IoT-based healthcare system leverages Internet of Things technology to improve the quality and efficiency of healthcare services. It involves the use of interconnected devices and sensors to monitor patients' health remotely and in real time. These devices can track vital signs such as heart rate, blood pressure, body temperature, and glucose levels, among others. The data collected is transmitted securely to healthcare providers, who can analyze it and provide timely interventions when necessary. IoT healthcare systems can also integrate with electronic health records, offering a comprehensive view of a patient's medical history and current health status. This enables personalized care and more informed medical decisions. Additionally, IoT can facilitate telemedicine, allowing patients to consult with healthcare professionals from the comfort of their homes. This can improve access to healthcare, especially for those in remote or underserved areas. However, the implementation of IoT-based healthcare systems also requires careful attention to data privacy and security to protect sensitive patient information. Overall, IoT in healthcare promises to revolutionize the industry by enhancing patient outcomes and streamlining healthcare delivery.
Transforming Healthcare with Online Health Monitoring Systems
This document discusses the development and benefits of online health monitoring systems. It describes how these systems use wearable sensors and devices to remotely collect patient health data like temperature, heart rate, and oxygen levels. The data is transmitted wirelessly to central servers where it is analyzed using artificial intelligence. Healthcare providers can access this data through web portals to track patients and identify potential issues. The document outlines the components of these systems, including sensors, mobile apps, and servers. It also explores how these systems could improve access to healthcare, reduce costs by preventing hospitalizations, and enhance outcomes through early detection of health problems. While promising, the document notes challenges like ensuring the accurate and secure collection and storage of sensitive patient data.
J05136669
This document describes an intelligent health care monitoring system using a wireless sensor network. It discusses using sensors to monitor patient vital signs like temperature, humidity, and heart rate. Sensor data is transmitted via CC2500 low power wireless radios to a centralized control room. The system aims to improve patient monitoring by making equipment more portable and allowing remote access to patient data by doctors through mobile devices. It concludes the proposed system can check various health parameters in real-time to monitor patient health more efficiently through energy efficient wireless communication between sensor nodes.
HMS synop.pdf
kkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkbbb67yffffufuyyufugogpiguhgigigihhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjfffffffffffffffffffffffffffffffffffffffffffffffffffffffff yuuuoyyoooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooo ooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooowuwu7sget wuyuywhsu 2w7yd7y7eyw7y 7wte7w7 ye7tw 7w7ey w77wq 7w7y87yeweu23gwr eu7rw8y73 97 ewhe uweih 8eh8 w98es8 98we 98 98 8we98 f9w8u3e899ewe 98weu89 9uew9uwe9 98ewu98weu 9ue98 98w 8ew98u ew0ouw9eu 98euurhueh 8ew8ef98ed8uw89uew8uew 9ew8eoiuhewio f u3g7ef uuegug 76gf 8y7ery 87y78y7y87ry7t 47y78twe7t97y4r euueury 3uhtuyyeteiytruyt euettiru8tyugy uyfygfifyi iugut87ugut iuugiugu77ui hhihiuhuo houhuiy7 7i7y 7i7 y7yfyfiyf8igiygygyyggyigygt 7tiyyyygggggggggyiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiiug t7 t7y7y7y7y8 yo y 9y y7 gtuu7gtu7u7gu7uigiugggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggggg uu uuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuukkkkkkkkkkkkkkk kkkkkkkk k ugtuhiuwyyejhv 3e7yeyew 97yeyr weayowehs7yf9 7ysvshef ww78 we w7eg e7 uewuhuhueyu fery7w 7yr78te88888888888888888888888888888888888888888888888888888888888888888888888888888888888888888888888bhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhh jjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjj
IRJET- Design and Implementation of Health Monitoring System
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.
Utilizing communication techniques in IoT-based healthcare monitoring systems...
This document reviews communication techniques used in IoT-based healthcare monitoring systems. It discusses technologies like Wi-Fi, Bluetooth, Zigbee and LoRaWAN that have been used in various healthcare monitoring applications. The key findings are:
1) Wi-Fi, Bluetooth and Zigbee have shorter ranges limited to indoor use, while LoRaWAN enables long-range communication for both indoor and outdoor monitoring.
2) Many systems integrate short-range technologies like Bluetooth with LoRaWAN to obtain longer communication ranges.
3) While Arduino Uno is commonly used, it has limitations like higher power consumption and need for external boards. ESP32 is presented as an alternative with integrated Wi
An IoT Based Patient Health Monitoring System Using Arduino Uno
This document summarizes a research paper that proposes an IoT-based patient health monitoring system using an Arduino Uno board. The system collects data on parameters like heart rate, body temperature, and blood pressure from sensors and sends it wirelessly to a IoT website. The data is analyzed to monitor patients' health and notify them or their doctors of any critical conditions. The proposed system was tested and able to accurately measure and transmit sensor data on the IoT site.
Intelligent Healthcare Monitoring in IoT
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.
IOT Based Patient Health Monitoring System Using WIFI
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
Advanced Patient Monitoring System with Diseases Prediction System using Mach...
Advanced Patient Monitoring System with Diseases Prediction System using Mach...Associate Professor in VSB Coimbatore
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.zinullah presentation.pdf
The document analyzes and reviews IP-based patient monitoring systems. It discusses the importance of patient monitoring systems and how they are used to monitor physiological signals like ECG, blood pressure, oxygen saturation, and temperature. It describes different types of patient monitoring systems, including single-parameter, multi-parameter, and central monitoring systems. It also discusses peer-to-peer networking and how IP-based patient monitoring systems use TCP/IP protocols for open communication networks. The document analyzes the possibility of using such systems in Afghanistan's public and private healthcare sectors.
IRJET- Wireless Real Time Implementation of Health Assist System for Rurals
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.
Real-time Heart Pulse Monitoring Technique Using Wireless Sensor Network and ...
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.
IRJET- Smart ICU using IoT
This document proposes an IoT-based smart ICU patient monitoring system that collects patient health data from various sensors. The system allows ICU supervisors to add patients and assign them doctors for treatment. It also allows doctors to view patient profiles and medical histories. Sensors measure vital signs like temperature, heart rate, oxygen levels and send this data to the cloud for analysis. The system is intended to help doctors monitor critically ill patients remotely and make timely treatment decisions. It aims to reduce workloads for medical staff and improve ICU patient care and safety.
Real Time ECG and Saline Level Monitoring System Using Arduino UNO Processor
Real Time ECG and Saline Level Monitoring System Using Arduino UNO ProcessorAssociate Professor in VSB Coimbatore
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.IRJET- An Efficient Health Care System for Human Anatomy using IoT
This document presents a proposed system for an efficient healthcare system using IoT (Internet of Things) technology. The system would allow for continuous remote monitoring of patients' health conditions through sensors that collect data like temperature, pulse, and alcohol levels. The sensor data would be sent to the cloud and shared with doctors and family members. If an emergency is detected based on the health data, an alert would be sent via GSM to notify the doctor. The doctor could then send any prescriptions through the cloud system to the patient. The goal is to provide better healthcare access for patients by allowing remote health monitoring and emergency detection/response through an IoT-based system.
Health monitoring system
It is a prototype of smart wearable device which can further be implemented for health care in case of emergency.
telehea
This document describes a telehealth system that allows remote patient monitoring and communication between patients and doctors. The system uses sensors to measure a patient's vital signs which are sent via Bluetooth to an Android application. This allows patients to check their health status and send readings to their doctor. Doctors can view patient health data and send precautions and treatment instructions. The system aims to reduce hospital visits and facilitate care at home through remote checkups and monitoring.
Computer-aided automated detection of kidney disease using supervised learnin...
In this paper, we propose an efficient home-based system for monitoring chronic kidney disease (CKD). As non-invasive disease identification approaches are gaining popularity nowadays, the proposed system is designed to detect kidney disease from saliva samples. Salivary diagnosis has advanced its popularity over the last few years due to the non-invasive sample collection technique. The use of salivary components to monitor and detect kidney disease is investigated through an experimental investigation. We measured the amount of urea in the saliva sample to detect CKD. Further, this article explains the use of predictive analysis using machine learning techniques and data analytics in remote healthcare management. The proposed health monitoring system classified the samples with an accuracy of 97.1%. With internet facilities available everywhere, this methodology can offer better healthcare services, with real-time decision support in remote monitoring platform.
Irjet v7 i31040
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.
A Review Paper on Doctorless Intelligent Covid Center
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.
Smart Health care Monitoring using Arduino.pptx
It's presentation about smart health care monitoring by using Arduino and some sensors then we will display results on remoteXY app to monitor vital signs of patient
ealth Monitoring System in Emergency Using IoT: A Review
This document reviews remote health monitoring systems using IoT technology. It discusses how sensors can detect patient vitals, data can be sent to cloud storage, and data can be remotely viewed by doctors. This allows doctors to monitor patient health even when not in the hospital. The document outlines the components of such a system, including sensors to detect vitals, transmission of data to the cloud, and an interface to view the data remotely. It also reviews several existing studies on IoT-based health monitoring systems and their findings. In general, these systems allow for continuous remote patient monitoring, early disease detection, and reduced healthcare costs compared to traditional hospital-based monitoring.
IoT Based Intelligent Medicine Box with Assistance
This document describes an intelligent medicine box that stores medicines and alerts patients to take their medicines on time. It measures various health parameters like pulse rate, blood pressure, temperature, and ECG and sends this data to the cloud for doctors to monitor. The system has two units - a GSM timer unit that sends medicine reminders to patients, and a sensor unit that measures health parameters and uploads the data to the cloud using Firebase IoT so doctors can monitor patients' health online. The system is designed to improve medication adherence and allow remote patient monitoring.
IRJET - Remote Health Monitoring System using IoT
This document describes a remote health monitoring system using IoT (Internet of Things) and Arduino. The system collects health parameters like temperature, heart rate, and blood pressure from sensors and sends the data remotely to be viewed and analyzed. It notifies patients and doctors if any parameters exceed thresholds. The system is intended to help monitor patients outside of clinical settings and reduce healthcare costs. It discusses implementing the system using an Arduino microcontroller to process sensor data and an ESP8266 WiFi module to transmit data to a remote server. Results show the system can successfully post sensor readings online. The system provides a low-cost way to remotely monitor patients' health.
Implementation Of Real Time IoT Based Health monitoring system
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.
Casting-Defect-inSlab continuous casting.pdf
Casting-Defect-inSlab continuous casting. Casting-Defect-inSlab continuous casting. Casting-Defect-inSlab continuous casting. Casting-Defect-inSlab continuous casting. Casting-Defect-inSlab continuous casting. Casting-Defect-inSlab continuous casting. Casting-Defect-inSlab continuous casting. Casting-Defect-inSlab continuous casting
More Related Content
Similar to PPT_Project.pptx
An IoT Based Patient Health Monitoring System Using Arduino Uno
This document summarizes a research paper that proposes an IoT-based patient health monitoring system using an Arduino Uno board. The system collects data on parameters like heart rate, body temperature, and blood pressure from sensors and sends it wirelessly to a IoT website. The data is analyzed to monitor patients' health and notify them or their doctors of any critical conditions. The proposed system was tested and able to accurately measure and transmit sensor data on the IoT site.
Intelligent Healthcare Monitoring in IoT
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.
IOT Based Patient Health Monitoring System Using WIFI
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
Advanced Patient Monitoring System with Diseases Prediction System using Mach...
Advanced Patient Monitoring System with Diseases Prediction System using Mach...Associate Professor in VSB Coimbatore
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.zinullah presentation.pdf
The document analyzes and reviews IP-based patient monitoring systems. It discusses the importance of patient monitoring systems and how they are used to monitor physiological signals like ECG, blood pressure, oxygen saturation, and temperature. It describes different types of patient monitoring systems, including single-parameter, multi-parameter, and central monitoring systems. It also discusses peer-to-peer networking and how IP-based patient monitoring systems use TCP/IP protocols for open communication networks. The document analyzes the possibility of using such systems in Afghanistan's public and private healthcare sectors.
IRJET- Wireless Real Time Implementation of Health Assist System for Rurals
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.
Real-time Heart Pulse Monitoring Technique Using Wireless Sensor Network and ...
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.
IRJET- Smart ICU using IoT
This document proposes an IoT-based smart ICU patient monitoring system that collects patient health data from various sensors. The system allows ICU supervisors to add patients and assign them doctors for treatment. It also allows doctors to view patient profiles and medical histories. Sensors measure vital signs like temperature, heart rate, oxygen levels and send this data to the cloud for analysis. The system is intended to help doctors monitor critically ill patients remotely and make timely treatment decisions. It aims to reduce workloads for medical staff and improve ICU patient care and safety.
Real Time ECG and Saline Level Monitoring System Using Arduino UNO Processor
Real Time ECG and Saline Level Monitoring System Using Arduino UNO ProcessorAssociate Professor in VSB Coimbatore
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.IRJET- An Efficient Health Care System for Human Anatomy using IoT
This document presents a proposed system for an efficient healthcare system using IoT (Internet of Things) technology. The system would allow for continuous remote monitoring of patients' health conditions through sensors that collect data like temperature, pulse, and alcohol levels. The sensor data would be sent to the cloud and shared with doctors and family members. If an emergency is detected based on the health data, an alert would be sent via GSM to notify the doctor. The doctor could then send any prescriptions through the cloud system to the patient. The goal is to provide better healthcare access for patients by allowing remote health monitoring and emergency detection/response through an IoT-based system.
Health monitoring system
It is a prototype of smart wearable device which can further be implemented for health care in case of emergency.
telehea
This document describes a telehealth system that allows remote patient monitoring and communication between patients and doctors. The system uses sensors to measure a patient's vital signs which are sent via Bluetooth to an Android application. This allows patients to check their health status and send readings to their doctor. Doctors can view patient health data and send precautions and treatment instructions. The system aims to reduce hospital visits and facilitate care at home through remote checkups and monitoring.
Computer-aided automated detection of kidney disease using supervised learnin...
In this paper, we propose an efficient home-based system for monitoring chronic kidney disease (CKD). As non-invasive disease identification approaches are gaining popularity nowadays, the proposed system is designed to detect kidney disease from saliva samples. Salivary diagnosis has advanced its popularity over the last few years due to the non-invasive sample collection technique. The use of salivary components to monitor and detect kidney disease is investigated through an experimental investigation. We measured the amount of urea in the saliva sample to detect CKD. Further, this article explains the use of predictive analysis using machine learning techniques and data analytics in remote healthcare management. The proposed health monitoring system classified the samples with an accuracy of 97.1%. With internet facilities available everywhere, this methodology can offer better healthcare services, with real-time decision support in remote monitoring platform.
Irjet v7 i31040
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.
A Review Paper on Doctorless Intelligent Covid Center
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.
Smart Health care Monitoring using Arduino.pptx
It's presentation about smart health care monitoring by using Arduino and some sensors then we will display results on remoteXY app to monitor vital signs of patient
ealth Monitoring System in Emergency Using IoT: A Review
This document reviews remote health monitoring systems using IoT technology. It discusses how sensors can detect patient vitals, data can be sent to cloud storage, and data can be remotely viewed by doctors. This allows doctors to monitor patient health even when not in the hospital. The document outlines the components of such a system, including sensors to detect vitals, transmission of data to the cloud, and an interface to view the data remotely. It also reviews several existing studies on IoT-based health monitoring systems and their findings. In general, these systems allow for continuous remote patient monitoring, early disease detection, and reduced healthcare costs compared to traditional hospital-based monitoring.
IoT Based Intelligent Medicine Box with Assistance
This document describes an intelligent medicine box that stores medicines and alerts patients to take their medicines on time. It measures various health parameters like pulse rate, blood pressure, temperature, and ECG and sends this data to the cloud for doctors to monitor. The system has two units - a GSM timer unit that sends medicine reminders to patients, and a sensor unit that measures health parameters and uploads the data to the cloud using Firebase IoT so doctors can monitor patients' health online. The system is designed to improve medication adherence and allow remote patient monitoring.
IRJET - Remote Health Monitoring System using IoT
This document describes a remote health monitoring system using IoT (Internet of Things) and Arduino. The system collects health parameters like temperature, heart rate, and blood pressure from sensors and sends the data remotely to be viewed and analyzed. It notifies patients and doctors if any parameters exceed thresholds. The system is intended to help monitor patients outside of clinical settings and reduce healthcare costs. It discusses implementing the system using an Arduino microcontroller to process sensor data and an ESP8266 WiFi module to transmit data to a remote server. Results show the system can successfully post sensor readings online. The system provides a low-cost way to remotely monitor patients' health.
Implementation Of Real Time IoT Based Health monitoring system
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.
Similar to PPT_Project.pptx (20)
An IoT Based Patient Health Monitoring System Using Arduino Uno
An IoT Based Patient Health Monitoring System Using Arduino Uno
IOT Based Patient Health Monitoring System Using WIFI
IOT Based Patient Health Monitoring System Using WIFI
Advanced Patient Monitoring System with Diseases Prediction System using Mach...
Advanced Patient Monitoring System with Diseases Prediction System using Mach...
IRJET- Wireless Real Time Implementation of Health Assist System for Rurals
IRJET- Wireless Real Time Implementation of Health Assist System for Rurals
Real-time Heart Pulse Monitoring Technique Using Wireless Sensor Network and ...
Real-time Heart Pulse Monitoring Technique Using Wireless Sensor Network and ...
Real Time ECG and Saline Level Monitoring System Using Arduino UNO Processor
Real Time ECG and Saline Level Monitoring System Using Arduino UNO Processor
IRJET- An Efficient Health Care System for Human Anatomy using IoT
IRJET- An Efficient Health Care System for Human Anatomy using IoT
Computer-aided automated detection of kidney disease using supervised learnin...
Computer-aided automated detection of kidney disease using supervised learnin...
A Review Paper on Doctorless Intelligent Covid Center
A Review Paper on Doctorless Intelligent Covid Center
ealth Monitoring System in Emergency Using IoT: A Review
ealth Monitoring System in Emergency Using IoT: A Review
IoT Based Intelligent Medicine Box with Assistance
IoT Based Intelligent Medicine Box with Assistance
Implementation Of Real Time IoT Based Health monitoring system
Implementation Of Real Time IoT Based Health monitoring system
Recently uploaded
Casting-Defect-inSlab continuous casting.pdf
Casting-Defect-inSlab continuous casting. Casting-Defect-inSlab continuous casting. Casting-Defect-inSlab continuous casting. Casting-Defect-inSlab continuous casting. Casting-Defect-inSlab continuous casting. Casting-Defect-inSlab continuous casting. Casting-Defect-inSlab continuous casting. Casting-Defect-inSlab continuous casting
Iron and Steel Technology Roadmap - Towards more sustainable steelmaking.pdf
Iron and Steel Technology towards Sustainable Steelmaking
2008 BUILDING CONSTRUCTION Illustrated - Ching Chapter 02 The Building.pdf
2008 BUILDING CONSTRUCTION Illustrated - Ching Chapter 02 The Building
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressions
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.
Recycled Concrete Aggregate in Construction Part III
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.
Comparative analysis between traditional aquaponics and reconstructed aquapon...
The aquaponic system of planting is a method that does not require soil usage. It is a method that only needs water, fish, lava rocks (a substitute for soil), and plants. Aquaponic systems are sustainable and environmentally friendly. Its use not only helps to plant in small spaces but also helps reduce artificial chemical use and minimizes excess water use, as aquaponics consumes 90% less water than soil-based gardening. The study applied a descriptive and experimental design to assess and compare conventional and reconstructed aquaponic methods for reproducing tomatoes. The researchers created an observation checklist to determine the significant factors of the study. The study aims to determine the significant difference between traditional aquaponics and reconstructed aquaponics systems propagating tomatoes in terms of height, weight, girth, and number of fruits. The reconstructed aquaponics system’s higher growth yield results in a much more nourished crop than the traditional aquaponics system. It is superior in its number of fruits, height, weight, and girth measurement. Moreover, the reconstructed aquaponics system is proven to eliminate all the hindrances present in the traditional aquaponics system, which are overcrowding of fish, algae growth, pest problems, contaminated water, and dead fish.
New techniques for characterising damage in rock slopes.pdf
rock mass characterization and New techniques for characterising damage in rock slopes
International Conference on NLP, Artificial Intelligence, Machine Learning an...
International Conference on NLP, Artificial Intelligence, Machine Learning and Applications (NLAIM 2024) offers a premier global platform for exchanging insights and findings in the theory, methodology, and applications of NLP, Artificial Intelligence, Machine Learning, and their applications. The conference seeks substantial contributions across all key domains of NLP, Artificial Intelligence, Machine Learning, and their practical applications, aiming to foster both theoretical advancements and real-world implementations. With a focus on facilitating collaboration between researchers and practitioners from academia and industry, the conference serves as a nexus for sharing the latest developments in the field.
Understanding Inductive Bias in Machine Learning
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.
22CYT12-Unit-V-E Waste and its Management.ppt
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
哪里办理(csu毕业证书)查尔斯特大学毕业证硕士学历原版一模一样
原版一模一样【微信：741003700 】【(csu毕业证书)查尔斯特大学毕业证硕士学历】【微信：741003700 】学位证，留信认证（真实可查，永久存档）offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原海外各大学 Bachelor Diploma degree, Master Degree Diploma
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
TIME DIVISION MULTIPLEXING TECHNIQUE FOR COMMUNICATION SYSTEM
Time Division Multiplexing (TDM) is a method of transmitting multiple signals over a single communication channel by dividing the signal into many segments, each having a very short duration of time. These time slots are then allocated to different data streams, allowing multiple signals to share the same transmission medium efficiently. TDM is widely used in telecommunications and data communication systems.
### How TDM Works
1. **Time Slots Allocation**: The core principle of TDM is to assign distinct time slots to each signal. During each time slot, the respective signal is transmitted, and then the process repeats cyclically. For example, if there are four signals to be transmitted, the TDM cycle will divide time into four slots, each assigned to one signal.
2. **Synchronization**: Synchronization is crucial in TDM systems to ensure that the signals are correctly aligned with their respective time slots. Both the transmitter and receiver must be synchronized to avoid any overlap or loss of data. This synchronization is typically maintained by a clock signal that ensures time slots are accurately aligned.
3. **Frame Structure**: TDM data is organized into frames, where each frame consists of a set of time slots. Each frame is repeated at regular intervals, ensuring continuous transmission of data streams. The frame structure helps in managing the data streams and maintaining the synchronization between the transmitter and receiver.
4. **Multiplexer and Demultiplexer**: At the transmitting end, a multiplexer combines multiple input signals into a single composite signal by assigning each signal to a specific time slot. At the receiving end, a demultiplexer separates the composite signal back into individual signals based on their respective time slots.
### Types of TDM
1. **Synchronous TDM**: In synchronous TDM, time slots are pre-assigned to each signal, regardless of whether the signal has data to transmit or not. This can lead to inefficiencies if some time slots remain empty due to the absence of data.
2. **Asynchronous TDM (or Statistical TDM)**: Asynchronous TDM addresses the inefficiencies of synchronous TDM by allocating time slots dynamically based on the presence of data. Time slots are assigned only when there is data to transmit, which optimizes the use of the communication channel.
### Applications of TDM
- **Telecommunications**: TDM is extensively used in telecommunication systems, such as in T1 and E1 lines, where multiple telephone calls are transmitted over a single line by assigning each call to a specific time slot.
- **Digital Audio and Video Broadcasting**: TDM is used in broadcasting systems to transmit multiple audio or video streams over a single channel, ensuring efficient use of bandwidth.
- **Computer Networks**: TDM is used in network protocols and systems to manage the transmission of data from multiple sources over a single network medium.
### Advantages of TDM
- **Efficient Use of Bandwidth**: TDM all
Modelagem de um CSTR com reação endotermica.pdf
Modelagem em função de transferencia. CSTR não-linear.
ACEP Magazine edition 4th launched on 05.06.2024
This document provides information about the third edition of the magazine "Sthapatya" published by the Association of Civil Engineers (Practicing) Aurangabad. It includes messages from current and past presidents of ACEP, memories and photos from past ACEP events, information on life time achievement awards given by ACEP, and a technical article on concrete maintenance, repairs and strengthening. The document highlights activities of ACEP and provides a technical educational article for members.
Recently uploaded (20)
Iron and Steel Technology Roadmap - Towards more sustainable steelmaking.pdf
Iron and Steel Technology Roadmap - Towards more sustainable steelmaking.pdf
2008 BUILDING CONSTRUCTION Illustrated - Ching Chapter 02 The Building.pdf
2008 BUILDING CONSTRUCTION Illustrated - Ching Chapter 02 The Building.pdf
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressions
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressions
Recycled Concrete Aggregate in Construction Part III
Recycled Concrete Aggregate in Construction Part III
Comparative analysis between traditional aquaponics and reconstructed aquapon...
Comparative analysis between traditional aquaponics and reconstructed aquapon...
New techniques for characterising damage in rock slopes.pdf
New techniques for characterising damage in rock slopes.pdf
International Conference on NLP, Artificial Intelligence, Machine Learning an...
International Conference on NLP, Artificial Intelligence, Machine Learning an...
basic-wireline-operations-course-mahmoud-f-radwan.pdf
basic-wireline-operations-course-mahmoud-f-radwan.pdf
TIME DIVISION MULTIPLEXING TECHNIQUE FOR COMMUNICATION SYSTEM
TIME DIVISION MULTIPLEXING TECHNIQUE FOR COMMUNICATION SYSTEM
Generative AI leverages algorithms to create various forms of content
Generative AI leverages algorithms to create various forms of content
Engineering Drawings Lecture Detail Drawings 2014.pdf
Engineering Drawings Lecture Detail Drawings 2014.pdf
PPT_Project.pptx
- 1. Health monitoring system using IOT PRESENTED BY: Prabhvijender Singh (2100390) Prabhjot Kaur(2100388) Priyanshu Kumar(2100395) Pawan Kumar(2100387)
- 2. Introduction to HMS using IOT • It has internet capability which helps the patient and the doctor to communicate even at a long distance. • It can record, transmit and alert if there’s any problem with patient’s health. • It is built around Arduino microcontroller. • This project is used to measure the heart beat and temperature of the person.
- 3. Objective • To develop health monitoring system i.e. it measures body temperature and heart rate. • To design a system to store the patient data over a period of time using database management. • To do analysis of collected data of sensors.
- 4. Facilities required • Arduino board • Generic ESP8266 • Pulse sensor • Temperature sensor • Python
- 5. Future Enhancements • Realtime monitoring • Easy to use • Reduction in cost • Increased collaboration with patients and colleagues
- 6. Applications • Enhancement in healthcare management • End to End connectivity • Timely warnings and alerts
- 7. Conclusion The health monitoring system was described in this research to offer sufficient patients' health status in real-time to the clinicians remotely. Monitoring the precise state of the patient in the absence of the doctor was developed for effective health purposes.
- 8. Thank you