Title: Adaptive artefact canceller filter based on penguins search optimisation algorithm for ECG signals

Authors: Ishani Mishra; Sanjay Jain; Vivek Maik

Addresses: Department of ECE, New Horizon College of Engineering, Bangalore, 560103, India ' CMR Institute of Technology, Bangalore, 560037, India ' SRM University, Chennai, 603203, India

Abstract: The electrocardiogram (ECG) signal is a collection of biopotentials related to the contractions of heart muscles that is used to diagnose cardiac abnormalities. The ECG signal is usually distorted by unwanted interference called noise or artefact. The removal of such noise is crucial to better analysis of ECG signals and to better evaluation of the human cardiac system. So, in this paper, an enhanced adaptive artefact canceller (AAC) is presented for filtering the ECG signals. The PeSOA algorithm is used to optimise the weight parameters of AAC. The performance of the proposed PeSOA is evaluated in terms of mean square error (MSE), signal-to-noise ratio (SNR), normalised mean square error (NRMSE), correlation, and coherence factor. Besides, the performance of the proposed scheme is compared with that of different existing filtering techniques, such as bacterial foraging optimisation-based AAC (BFOAAC) and AAC. This proposed noise canceller method supports the human cardiac system for analysing the ECG signals preciously.

Keywords: AAC; adaptive artefact canceller; ECG signal; optimisation algorithm; optimal weight value.

DOI: 10.1504/IJSSE.2024.138345

International Journal of System of Systems Engineering, 2024 Vol.14 No.3, pp.291 - 309

Received: 28 Dec 2022
Accepted: 24 Feb 2023
Published online: 01 May 2024 *

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