Bradycardia Detection using ECG Signal Processing and MATLAB

Ledisi Giok Kabari,Ugochukwu C Onwuka

doi:10.24018/ejers.2019.4.3.1207

Ledisi Giok Kabari, Ugochukwu C Onwuka

Open Access

https://doi.org/10.24018/ejers.2019.4.3.1207

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Abstract

Electrocardiogram is the record of electrical activity of heart. ECG is a test to detect and study normal rhythmic activity of the heart. Signal processing are very often used methods in a biomedical engineering research. This paper presents Bradycardia detection by utilization of digital signal filtering on electrocardiogram (ECG) using MATLAB. MATLAB was used to analyze and process ECG dataset gotten from Physionet online database with focus on R-R peaks to calculate the heartbeat, by applying high pass filtering and squaring the signal. The results obtained using MATLAB for ECG analysis and detection of arrhythmia is very fast and useful.

Highlights

Bradycardia is a condition where an individual has a resting heart rate of less than 60 beats per minute (BPM) in adults
Bradycardia typically does not cause symptoms until the rate drops below 50 BPM
Trained athletes may have athletic heart condition, a very slow resting heart rate that occurs as a result of sport adaptation and helps prevent tachycardia( Heart rate > 100) during training

Summary

INTRODUCTION

Bradycardia is a condition where an individual has a resting heart rate of less than 60 beats per minute (BPM) in adults. Current diffused around the surface of the body builds a voltage drop, which is a couple of microvolts (μV) to millivolts (mV) with an impulse variation; ECG is purely a voltmeter that uses up to 12 different electrodes placed on specified areas of the body This very usually small amplitude of impulse requires amplification to about a thousand times. Heart Beat Abnormalities: Bradycardia is detected when heart rate is less than 60bpm (100bpm)

MATERIALS AND METHOD

RESULTS AND DISCUSSION

CONCLUSION