Authors: Shivani Saxena; Ritu Vijay; Pallavi Pahadiya
Addresses: Department of Physical Sciences, Banasthali Vidyapith, Rajasthan, 304022, India ' Department of Physical Sciences, Banasthali Vidyapith, Rajasthan, 304022, India ' SAGE University, Indore, 452020, India
Abstract: Wavelet based thresholding procedure is most popular approach to obtained de-noised ECG signal. Traditional thresholding techniques classified into soft and hard thresholding, have their own limitations. Former one involves large data size leading to longer computational time and second one involving compression of data results in loss of information sometimes crucial. The work in this paper optimised the features of both thresholding methods in which elimination of noisy wavelet coefficients is performed and rest coefficients are modified using features of hard and soft thresholding respectively. Computed mean square error is minimum in proposed method among hard thresholding, soft thresholding and proposed thresholding technique. In addition, histogram plot is used to identify frequency distribution in de-noising ECG signals.
Keywords: ECG; baseline wander noise; power line interference noise; thresholding; wavelet transform; ECG arrhythmia; hard thresholding; histograms; mean square error; soft thresholding; thresholding rules.
International Journal of Intelligent Engineering Informatics, 2021 Vol.9 No.5, pp.487 - 501
Received: 13 May 2021
Accepted: 05 Aug 2021
Published online: 03 Feb 2022 *