Wavelet Based Analysis and Characterization of the ECG Signal
1Sachin A.Winchurkar,2Dr.SumitaS.Pande
1Assistant Professor,2Assistant Professor
1Computer Science,
1D.C.P.E.,H.V.P.M. , Amravati,India
1sachinwinchurkar@gmail.com,2sumitapande@yahoo.com
Abstract—
The article titled “Wavelet Based Analysis and Characterization of the ECG Signal” presents a method using the Mexican Hat wavelet to accurately identify the onset, termination points, and durations of the main components of the human electrocardiogram (ECG). The study involved ECG recordings from 21 healthy subjects, aged between 13 and 65 years, covering a heart rate range from 46 to 184 beats per minute. The wavelet transform technique enabled precise localization of individual ECG component timings, which were then analyzed relative to the corresponding heart rates. The researchers fitted second-order equations to the data for each component to characterize its timing variations.
Index Terms—ECG signal analysis, wavelet transform, Mexican Hat wavelet, component onset and termination, heart rate variability, signal processing, cardiac electrophysiology.
DOI link – https://doi.org/10.69758/GIMRJ/2505I5VXIIIP0041
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