Smart Non-invasive Physiological Parameter Monitoring System Using IoT and Blynk App

Abstract

This work aims to provide an advanced, portable and non-invasive multiple physiological parameters monitoring system using the Internet of Things (IoT) platform and Blynk App. The device detects essential physiological parameters non-invasively including heart rate (bpm), blood oxygen saturation (SpO2), blood glucose (mg/dL) and body temperature (C or F) from a person’s finger, peripheral part of the body or forehead. The sensors like pulse oximeter MAX30100 to read both heart rate and blood oxygen saturation, MLX9606 for sensing the body temperature and IR sensors to interpret blood glucose by near infrared optical method, have been calibrated and integrated with Arduino microprocessor and node MCU. The signal from the device is then sent to the Blynk App installed in an Android phone via a Wi-Fi connection, allowing the user to record and monitor the data. Test results showed that the device is capable of sensing and monitoring the physiological parameters and can transmit real time data instantly after sensing to the user. This non-invasive method of sensing parameters showed an average accuracy of 99.2% in temperature measurement, 99.07% in blood oxygen saturation level measurement and 90.52% in blood glucose measurement.