Pre-processing of ECG signal based on ANF and ICA: a comparison Online publication date: Thu, 24-Aug-2023
by Varun Gupta; Parvin Kumar; Sourav Diwania; Nitin Kumar Saxena; Natwar Singh Rathore
International Journal of Data Analysis Techniques and Strategies (IJDATS), Vol. 15, No. 3, 2023
Abstract: For removing noises from recorded ECG signal, adaptive notch filter (ANF) and independent component analysis (ICA) are used in this paper. In ANF, notch filter is obtained by adding bandpass filter (BPF) and voltage amplifier of unity gain. ANF is obtained by cascading of notch filter and adaptive filter which makes it more robust in respect of locating the poles and zeros on the respective constrained circle. On the other hand, ICA establishes the new coordinates which are non-orthogonal and statistically independent. It solves the problem of blind source separation (BSS). The novelty of this work is that for the first time ICA is used for pre-processing of variety of ECG signals with linear discriminant analysis (LDA) classifier/detector. The motivation behind to use LDA was that, it minimises the variance and maximises the class distance of the two variables by which chances of false detection becomes very low.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
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 Data Analysis Techniques and Strategies (IJDATS):
Login with your Inderscience username and 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
Our Blog 
Follow us on Twitter 
Visit us on Facebook