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Internet of Things Based Heart Failure Monitoring System using Radio Frequency Identification
19th IEEE Student Conference on Research and Development, SCOReD 2021 ; : 96-101, 2021.
Article in English | Scopus | ID: covidwho-1709410
ABSTRACT
This paper presents an internet of things (IoT) based heart failure monitoring system using radio frequency identification (RFID). It is developed to assist doctors to monitor patient's health conditions with heart failure disease remotely. The monitoring process can be done without having the presence at the hospital especially during the COVID-19 pandemic crisis where the doctor and the caretaker can access the medical record of the patient whenever required. This project employs Arduino Mega as the microcontroller which is interfaced with several sensors as input such as temperature sensor, pulse oximeter sensor and pulse sensor. The patient only needs to place their fingertip on each sensor while the monitoring process is performed to obtain the reading of health data. These data will be sent to the microcontroller to be processed and compared with the threshold value of each sensor. If the data obtained exceeds the threshold value, a notification is sent via Blynk mobile application to notify the doctor or caretaker on the abnormalities of the patient's health condition for further action. ESP8266 Wi-Fi module is used to allow doctor to access and monitor their patient's data from the cloud server using Blynk mobile application. This mobile application displays and notify the health condition of the patient in real time. Besides, the health data also can be exported to Excel for analysis and evaluation. The result obtained from testing the system turned out to be satisfactory in monitoring patient's health condition with an almost accurate reading of health data. © 2021 IEEE.
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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 19th IEEE Student Conference on Research and Development, SCOReD 2021 Year: 2021 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 19th IEEE Student Conference on Research and Development, SCOReD 2021 Year: 2021 Document Type: Article