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Bradycardia Detection using ECG Signal Processing and MATLAB

Author

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  • Ledisi Giok Kabari

    (Ken Saro-Wiwa Polytechnic, Bori)

  • Ugochukwu C. Onwuka

    (Ken Saro-Wiwa Polytechnic, Bori)

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.

Suggested Citation

  • Ledisi Giok Kabari & Ugochukwu C. Onwuka, 2019. "Bradycardia Detection using ECG Signal Processing and MATLAB," European Journal of Engineering and Technology Research, European Open Science, vol. 4(3), pages 163-165, March.
    • Handle: RePEc:epw:ejeng0:v:4:y:2019:i:3:id:61207
    DOI: 10.24018/ejeng.2019.4.3.1207
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