Principal and independent component-based analysis to enhance adaptive noise canceller for electrocardiogram signals
by Mangesh Ramaji Kose; Mitul Kumar Ahirwal; Rekh Ram Janghel
International Journal of Biomedical Engineering and Technology (IJBET), Vol. 38, No. 1, 2022

Abstract: In this paper, the proposed methodology has suggested a way to fulfil the need of reference signal for adaptive filtering (AF) of electrocardiogram (ECG) signals. ECG signals are the most important form of representation and observation of different heart conditions. During recording process the ECG signals gets contaminated with different types of noises like, baseline wander (BW), electrode motion artefact (MA), and muscle noise also known as electromyogram (EMG). Noise contamination causes distortion of normal structure of ECG signal. Adaptive filters works fine for ECG noise cancellation. But, the problem is the need of reference signal or estimation of noise signal. To solve this problem principal and independent component (PCA and ICA) of noisy signal has been analysed to extract the noise signal, which is used in adaptive noise cancellation of ECG signals. Fidelity parameters like mean square error (MSE), signal to noise ratio (SNR) and maximum error (ME) has been observed to measure the quality of filtered signals.

Online publication date: Tue, 15-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 Biomedical Engineering and Technology (IJBET):
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