학술논문

Health Care Monitoring Application using IoT Devices
Document Type
Conference
Source
2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) Advances in Computing, Communication Control and Networking (ICAC3N), 2022 4th International Conference on. :2413-2417 Dec, 2022
Subject
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Engineering Profession
Fields, Waves and Electromagnetics
General Topics for Engineers
Photonics and Electrooptics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Temperature sensors
Temperature measurement
Temperature distribution
Hospitals
Heart beat
Liquid crystal displays
Internet of Things
Health Monitoring
Algorithm
Real Time
Proof of Concept (POC)
Language
Abstract
Nowadays, health monitoring is crucial, especially monitoring the temperature and heartbeat of the patient in Covid / non-Covid situations. Continued monitoring of the patient is not a possible and tedious job. IoT plays a critical role in Hospitals where patients are in Intensive Care Units (ICU), and patients are treated at home (isolation points). The devices receive data continuously and monitor by the doctors remotely. This paper presents temperature and heartbeat monitoring using Internet Of Things (IoT) devices with an algorithm to capture data from devices and sends it to computer devices at a reasonable cost. Proof Of Concept has been created with the help of an Arduino board, Pulse Sensor, Temperature Sensor, Breadboard, ESP8266 Wi-Fi module, and Liquid Crystal Display (LCD). The IoT devices capture data from different devices (patient health data) in real time. The Health Care Monitoring (HCM) Application builds using microservices architecture, runs on top of the Thingspeak data, and sends notifications to the doctors if there is an emergency. The doctors can act according to rather than monitor continuously. This model eliminates manual intervention for taking the reading from time to time.