WAVELET BASED ECG SIGNAL COMPONENT IDENTIFICATION

Tatiparti Padma, Chepuri Bhavana, Peddamallu Sridivya

Abstract: The most commonly used technique to record the bioelectric current generated by the heart is Electrocardiogram. It is a simple, painless and valuable test done by placing the surface electrodes at the predetermined locations on the surface of the heart. It is a composite signal consisting of P, QRS, T and U waves, vital information related to arrhythmias (heart rhythm abnormalities) can be extracted from intervals and segments of these waves. The present study includes the development of an algorithm which preprocesses and automatically extracts the features of an ECG signal using wavelet transformation. As Wavelets provide both temporal and spatial information simultaneously and offers flexibility with the choice of wavelet functions with different properties. The initial step of the algorithm includes pre-processing of the signal in order to remove noise from the signal (denoising) and then uses the pre-processed signal for feature extraction. The accuracy of the analysis is increased and also the analysis time is reduced by using this algorithm.

Keywords: ECG, P wave, QRS complex, T wave, R-R interval, ST interval, QT interval, ST segment, heart rate, Wavelet transform.

DOI: https://doi.org/10.15623/ijret.2014.0305130