A Smart Wear based Portable Health Monitoring System

Abstract

This study aims to use wireless microcontroller sensor technology for the development of a service platform via smart wear. This will help us to study the overall dynamics of the patient body. Our paper aims to provide the portability along with efficiency. The ECG electrodes will take the ECG signal from the body by making Einthoven's triangle. In this study, we have used a 3 lead ECG to detect the severity of the cardiovascular disease. The main advantage of our study is that we will find the ECG signal along with the EMG signal which means that this study will not only help us to determine the heart signal but it will help us to detect the muscle contraction also. In this study I perform the experiment on three persons in three different stages for the ECG and EMG and matched those results with standard results. This study will further help in the making and controlling of robotic hand using EMG electrodes by sensing the muscle contraction and relaxation of human hand.