Bradycardia Detection using ECG Signal Processing and MATLAB

Ledisi Giok Kabari and Ugochukwu C. Onwuka
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Ledisi Giok Kabari: Ken Saro-Wiwa Polytechnic, Bori
Ugochukwu C. Onwuka: Ken Saro-Wiwa Polytechnic, Bori

European Journal of Engineering and Technology Research, 2019, vol. 4, issue 3, 163-165

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.

Keywords: Bradycardia; Biomedical Engineering; Heartbeat; MATLAB; Signal Processing (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:epw:ejeng0:v:4:y:2019:i:3:id:61207

DOI: 10.24018/ejeng.2019.4.3.1207

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