TITLE:
Design and Implementation of an IoT Based Remote Health Monitoring System
AUTHORS:
Taslim Arefin, Abul Kalam Azad
KEYWORDS:
IoT, Patient Monitoring, MPU Sensors, Accuracy, Delay, Power Consumption
JOURNAL NAME:
Journal of Computer and Communications,
Vol.12 No.11,
November
8,
2024
ABSTRACT: Considering the quality of life, manpower, and expenditure, an IoT-based health monitoring system has been proposed and implemented. Devices are placed on the human body to collect data, which is then uploaded to an online data server. Specialist doctors can access this data as needed, allowing them to assess the patient’s initial condition and provide advice at any time. This approach enhances the quality and reach of health services. The module, designed and installed using modern technology, minimizes latency and maximizes data accuracy while reducing delay and battery drain. An accompanying app motivates public acceptance and ease of use. Various sensors, including ECG, SpO2, gyroscope, PIR, temperature-humidity, and BP, collect data processed by an Arduino microcontroller. Data transmission is handled by a WiFi module, with ThingSpeak and Google Sheets used for data processing and storage. The system has been fully tested, and patient data from two hospitals compared with the proposed model shows 97% accuracy.