Key result
Savitzky-Golay filtering accurately detects ECG P, QRS, and T peaks to support arrhythmia classification.
Why the study?
Early detection of heart problems through ECG signal analysis can reduce cardiac death rates by accurately classifying arrhythmias.
May aid automated arrhythmia classification; leaves open need for prospective clinical validation before practice adoption.
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
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Chintalapati et al. (2021) studied Arrhythmia. Automated detection of P-QRS-T waves using Savitzky-Golay filter was evaluated on Detection of P, QRS, and T waves. The proposed automated method using Savitzky-Golay filtering successfully detected P-wave, QRS complex, and T-wave peaks from ECG signals to aid in arrhythmia classification.
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