Automated Detection of Depolarization and Repolarization of Cardiac Signal for Arrhythmia Classification

Authors

  • Usha Kumari Chintalapati Gokaraju Rangaraju Institute of Engineering and Technology
  • Md. Aqeel Manzar Gokaraju Rangaraju Institute of Engineering and Technology
  • Tarun Varma N Gokaraju Rangaraju Institute of Engineering and Technology
  • Reethika A Gokaraju Rangaraju Institute of Engineering and Technology
  • Priya Samhitha B Gokaraju Rangaraju Institute of Engineering and Technology
  • Rohitha Sivani J Gokaraju Rangaraju Institute of Engineering and Technology
  • Kamran Ali Mirza Gokaraju Rangaraju Institute of Engineering and Technology
  • Pranav Kumar S Gokaraju Rangaraju Institute of Engineering and Technology

DOI:

https://doi.org/10.3991/ijoe.v17i02.18955

Keywords:

Electrocardiogram (ECG), Arrhythmia, P Wave, QRS Complex, T wave, Savitzky-Golay (S-Golay).

Abstract


Irregular heartbeat results in heart diseases. Cardiac deaths are most seen across the globe. Detecting the heart problems in early stage can reduce the death rate. Electrocardiogram (ECG) is one of the most popular method for diagnosing different arrhythmias. Arrhythmia means irregular activity of heart or abnormal heart rhythm. In this paper, cardiac signal peaks P-wave, QRS complex and T-wave are detected for classifying the type of arrhythmia. These are the main components of ECG signal. P-wave is of very small duration, it is ex- plains about the atrial depolarization. The QRS complex may include combination of Q-wave, R-wave, and S-wave. But every QRS complex may not contain Q-R-S waves. It explains about ventricular depolarization. Whereas T wave is about ventricular re-polarization. S-Golay filter is used for denoising. This is used for smoothing the data which thereby, increases the precision of data without distortion of signal tendency. The patient data is collected from MIT-BIH Arrhythmia database for analysis. The simulation is done in Matlab software

Author Biographies

Usha Kumari Chintalapati, Gokaraju Rangaraju Institute of Engineering and Technology

Professor, Dept of ECE

Md. Aqeel Manzar, Gokaraju Rangaraju Institute of Engineering and Technology

UG Student

Tarun Varma N, Gokaraju Rangaraju Institute of Engineering and Technology

UG Student

Reethika A, Gokaraju Rangaraju Institute of Engineering and Technology

UG Student

Priya Samhitha B, Gokaraju Rangaraju Institute of Engineering and Technology

UG Student

Rohitha Sivani J, Gokaraju Rangaraju Institute of Engineering and Technology

UG Student

Kamran Ali Mirza, Gokaraju Rangaraju Institute of Engineering and Technology

UG Student

Pranav Kumar S, Gokaraju Rangaraju Institute of Engineering and Technology

UG Student

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Published

2021-02-12

How to Cite

Chintalapati, U. K., Manzar, M. A., N, T. V., A, R., B, P. S., J, R. S., … S, P. K. (2021). Automated Detection of Depolarization and Repolarization of Cardiac Signal for Arrhythmia Classification. International Journal of Online and Biomedical Engineering (iJOE), 17(02), pp. 173–181. https://doi.org/10.3991/ijoe.v17i02.18955

Issue

Vol. 17 No. 02 (2021)

Section

Short Papers

License

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