IJSER (ISSN 2229-5518) - Heartbeat Analyzer

Thesis Details

Author - Tahir Bashir

Computer Engineering

Country - Pakistan

Email -

bashirtahir@hotmail.com

Department - Computer Engineering

University - Bahria University, Karachi

Guide Name - Tasneem Aslam, M. Farooq Shibli

IJSER Edition 9/15/2024

INTRODUCTION

Portable real-time ECG monitor has to resolve many problems related to normal activity and physical exercise as compared to clinical monitors or Normal printing monitors. The most important problems include baseline wandering, muscle activity noise, changing electrode resistance (gel drying), lead problems, lead resistances etc. All these problems lead to decreased monitor reliability. In this project we have reduced these issues involved in development of a real-time, portable, PC based ECG monitoring device. The most important issues include reliable real-time processing of ECG morphology and power efficient processing. We have improved the reliability of real time ECG monitoring system with the help of high gain instrumentation amplifiers like AD624AD & AD620. After processing the ECG signal from our circuit, we moved it into the parallel port of computer where Heart Beat Analyzer’s software already waits for the ECG signal. This code brings the ECG signal and then plots these signals into three different graphs for three different Leads. We have improved the reliability using redundant signal processing procedures. For example, detection of R-peak is implemented using several known techniques. The number of detected R-peaks in the time/amplitude window that is defined using statistical expectations determines if the detection was reliable. In the time domain, R-peak is expected within 70-160% of the average RR (R to R peak) period, and within the expected amplitude range. With the help of these R-R Peaks, we have determined the Heart rate. If the single peak is detected in the given window no alternative processing methods are necessary. Additional experiments related to energy consumption and battery life were conducted using our energy? Profiling environment. Due to non-ideal battery characteristics, only experimental approach can provide valid data for prototype evaluation. Our environment consists of a PC, high resolution digital Oscilloscope, Rims emulator (for checking purposes), and a workstation that controls devices and stores the traces. We use AD624AD Instrumentation Amplifiers (to amplify the 2mV signal into 1-2V).