IoT Based Health Monitor for Remote Patient

There are lot of people who die from cardiovascular diseases (CVDs) such as the heart attack. The CVDs are most likely caused by a delay in ignorance of early heart attack symptoms which are barely noticeable and patients receiving treatment. Those who attend regular checkups in their nearest medical care centers were advised to check their cardiovascular diseases (CVDs) risk factors like diabetes, tobacco smokers, etc. The use of electronic sensors in the healthcare environment in particular during diagnostics plays an important role in helping to detect potential CVDs. Conducting appropriate healthcare screening and monitoring can detect early symptoms that could be easily treatable. For example, a CVD such as heart disease can be attended to by following a healthy diet, physical exercise, taking the right drug medication, and avoiding substance (i.e. smoking tobacco, alcohol, etc). In this paper, an intelligent IoT based system which monitor’s heartbeat was developed for remote patients. It exposes non-communicable CVDs symptoms by scanning human body in areas where photoelectric light can penetrate to detect a change in blood flow circulated by the heart. It uses the microcontroller, ESP32, to converts the analog photoelectric readings from a pulse sensor, MAX30102, into digital beats per minute (BPM), oxygen levels and a body temperature reading. The results showed a 90% accuracy with only few people showing a reading mismatch with a difference of 2–3%. Furthermore, it was noted that the system relied on the internet availability for the real-time reading to be transmitted to mobile application and online dashboard. In the future, a satellite based solutions will be used to improve the current system with the hope of achieving an uninterrupted internet connectivity.