Optimisation of thresholding techniques in de-noising of ECG signals
by Shivani Saxena; Ritu Vijay; Pallavi Pahadiya
International Journal of Intelligent Engineering Informatics (IJIEI), Vol. 9, No. 5, 2021

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.

Online publication date: Thu, 03-Feb-2022

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Intelligent Engineering Informatics (IJIEI):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com