Design and Implementation of an IoT Based Remote Health Monitoring System

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 ap-proach enhances the quality and reach of health services. The module, de-signed and installed using modern technology, minimizes latency and max-imizes data accuracy while reducing delay and battery drain. An accompany-ing app motivates public acceptance and ease of use. Various sensors, includ-ing 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 hos-pitals compared with the proposed model shows 97% accuracy.