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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/7225
Title: Descendent adaptive noise cancellers to improve SNR of contaminated EEG with gradient-based and evolutionary approach
Authors: Ahirwal M.K.
Kumar A.
Singh, Girish Kumar
Published in: International Journal of Biomedical Engineering and Technology
Abstract: In this paper, an Adaptive Noise Canceller (ANC) technique for different artefacts cancellations from the Electroencephalogram (EEG) signals is presented. The proposed technique is based on gradient based adaptive algorithms such as Least Mean Square (LMS), Normalised Least Mean Square (N-LMS) and Recursive Least Square (RLS) algorithms and an evolutionary algorithm like particle swarm optimisation (PSO) technique. Descendent structure is made through three adaptive noise cancellers for the removal of line noise, ECG and EOG artefacts. When compared, the adaptive noise canceller technique based on PSO performs better than all gradient based approaches. Several examples are included to illustrate the effectiveness of the proposed method in terms of the quality, for better and correct interpretation of EEG. Copyright © 2013 Inderscience Enterprises Ltd.
Citation: International Journal of Biomedical Engineering and Technology (2013), 13(1): 49-68
URI: https://doi.org/10.1504/IJBET.2013.057713
http://repository.iitr.ac.in/handle/123456789/7225
Issue Date: 2013
Publisher: Inderscience Publishers
Keywords: Adaptive filters
Artefacts
EEG
LMS
NLMS
PSO
RLS
ISSN: 17526418
Author Scopus IDs: 49361053400
57215268681
57193351909
Author Affiliations: Ahirwal, M.K., PDPM Indian Institute of Information Technology, Design and Manufacturing, Jabalpur 482011, Madhya Pradesh, India
Kumar, A., PDPM Indian Institute of Information Technology, Design and Manufacturing, Jabalpur 482011, Madhya Pradesh, India
Singh, G.K., Department of Electrical Engineering, Indian Institute of Technology Roorkee, Uttrakhand 247667, India, Department of Electrical Engineering, University of Malaya, Kuala Lumpur, Malaysia
Corresponding Author: Kumar, A.; PDPM Indian Institute of Information Technology, Design and Manufacturing, Jabalpur 482011, Madhya Pradesh, India; email: anilkdee@gmail.com
Appears in Collections:Journal Publications [EE]

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