Wireless ECG Monitoring System using IoT based Signal Conditioning Module For Real Time Signal Acquisition

Recently, in human health care scenario most of the people are suffering by arrhythmia which is a type of the cardiovascular diseases and it occurs during a person has irregular or abnormal heart rate. To diagnose such condition, there should be continuous monitoring of electrocardiogram signal irrespective of the location confined to the subject and the appropriate physician. In this research, wireless ECG monitoring system using AD8232 signal conditioning module for real time signal acquisition was proposed. The proposed system performs continuous ECG signal monitoring that integrates Wi-Fi technology which acquires the ECG signal and transmit it to cloud wirelessly. Also, feature extraction algorithm has been developed to extract features such as RMSSD, SDNN, Mean RR, Ratio SR and slope of linear regression of IBI from ECG signal of BioVid Heat pain database for different pain levels. The same feature extraction algorithm can be applied on real time ECG signal to extract the features. From the results, it is clear that the proposed system is advantageous for the physicians to provide the right health care to the subject without being in close proximity.