Random suppression of ECG artifacts using a NLSRLMMN-based cascaded noise canceller

Mohammed Mujahid Ulla Faiz; Azzedine Zerguine; Izzet Kale

doi:10.1109/IEEECONF60004.2024.10942836

Random suppression of ECG artifacts using a NLSRLMMN-based cascaded noise canceller

Mohammed Mujahid Ulla Faiz^*, Azzedine Zerguine, Izzet Kale

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Normally, the electrocardiogram (ECG) signal artifacts are removed in a particular sequence starting with baseline wander removal at the beginning. In this work, a methodology has been proposed using a novel algorithm called the Normalized Leaky Sign Regressor Least Mean Mixed Norm (NLSRLMMN) algorithm to remove multiple ECG artifacts such as baseline wander, motion artifacts, muscle artifacts, and power line interference randomly without following a particular sequence. Through rigorous simulations we have shown that if we remove multiple ECG artifacts randomly using our proposed approach then an improvement in signal to noise ratio and mean square error is observed as opposed to a conventional method that employs the Least Mean Square (LMS) algorithm in all the cascaded adaptive noise canceller stages.

Original language	English
Title of host publication	Conference Record of the 58th Asilomar Conference on Signals, Systems and Computers, ACSSC 2024
Editors	Michael B. Matthews
Publisher	IEEE Computer Society
Pages	1268-1273
Number of pages	6
ISBN (Electronic)	9798350354058
DOIs	https://doi.org/10.1109/IEEECONF60004.2024.10942836
State	Published - 2024
Event	58th Asilomar Conference on Signals, Systems and Computers, ACSSC 2024 - Hybrid, Pacific Grove, United States Duration: 27 Oct 2024 → 30 Oct 2024

Publication series

Name	Conference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (Print)	1058-6393

Conference

Conference	58th Asilomar Conference on Signals, Systems and Computers, ACSSC 2024
Country/Territory	United States
City	Hybrid, Pacific Grove
Period	27/10/24 → 30/10/24

Bibliographical note

Publisher Copyright:
© 2024 IEEE.

Keywords

Artifacts
ECG
LMF
LMS
NLSRLMMN

ASJC Scopus subject areas

Signal Processing
Computer Networks and Communications

Access to Document

10.1109/IEEECONF60004.2024.10942836

Cite this

Faiz, M. M. U., Zerguine, A., & Kale, I. (2024). Random suppression of ECG artifacts using a NLSRLMMN-based cascaded noise canceller. In M. B. Matthews (Ed.), Conference Record of the 58th Asilomar Conference on Signals, Systems and Computers, ACSSC 2024 (pp. 1268-1273). (Conference Record - Asilomar Conference on Signals, Systems and Computers). IEEE Computer Society. https://doi.org/10.1109/IEEECONF60004.2024.10942836

Faiz, Mohammed Mujahid Ulla ; Zerguine, Azzedine ; Kale, Izzet. / Random suppression of ECG artifacts using a NLSRLMMN-based cascaded noise canceller. Conference Record of the 58th Asilomar Conference on Signals, Systems and Computers, ACSSC 2024. editor / Michael B. Matthews. IEEE Computer Society, 2024. pp. 1268-1273 (Conference Record - Asilomar Conference on Signals, Systems and Computers).

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title = "Random suppression of ECG artifacts using a NLSRLMMN-based cascaded noise canceller",

abstract = "Normally, the electrocardiogram (ECG) signal artifacts are removed in a particular sequence starting with baseline wander removal at the beginning. In this work, a methodology has been proposed using a novel algorithm called the Normalized Leaky Sign Regressor Least Mean Mixed Norm (NLSRLMMN) algorithm to remove multiple ECG artifacts such as baseline wander, motion artifacts, muscle artifacts, and power line interference randomly without following a particular sequence. Through rigorous simulations we have shown that if we remove multiple ECG artifacts randomly using our proposed approach then an improvement in signal to noise ratio and mean square error is observed as opposed to a conventional method that employs the Least Mean Square (LMS) algorithm in all the cascaded adaptive noise canceller stages.",

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doi = "10.1109/IEEECONF60004.2024.10942836",

language = "English",

series = "Conference Record - Asilomar Conference on Signals, Systems and Computers",

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Faiz, MMU, Zerguine, A & Kale, I 2024, Random suppression of ECG artifacts using a NLSRLMMN-based cascaded noise canceller. in MB Matthews (ed.), Conference Record of the 58th Asilomar Conference on Signals, Systems and Computers, ACSSC 2024. Conference Record - Asilomar Conference on Signals, Systems and Computers, IEEE Computer Society, pp. 1268-1273, 58th Asilomar Conference on Signals, Systems and Computers, ACSSC 2024, Hybrid, Pacific Grove, United States, 27/10/24. https://doi.org/10.1109/IEEECONF60004.2024.10942836

Random suppression of ECG artifacts using a NLSRLMMN-based cascaded noise canceller. / Faiz, Mohammed Mujahid Ulla; Zerguine, Azzedine; Kale, Izzet.
Conference Record of the 58th Asilomar Conference on Signals, Systems and Computers, ACSSC 2024. ed. / Michael B. Matthews. IEEE Computer Society, 2024. p. 1268-1273 (Conference Record - Asilomar Conference on Signals, Systems and Computers).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - Normally, the electrocardiogram (ECG) signal artifacts are removed in a particular sequence starting with baseline wander removal at the beginning. In this work, a methodology has been proposed using a novel algorithm called the Normalized Leaky Sign Regressor Least Mean Mixed Norm (NLSRLMMN) algorithm to remove multiple ECG artifacts such as baseline wander, motion artifacts, muscle artifacts, and power line interference randomly without following a particular sequence. Through rigorous simulations we have shown that if we remove multiple ECG artifacts randomly using our proposed approach then an improvement in signal to noise ratio and mean square error is observed as opposed to a conventional method that employs the Least Mean Square (LMS) algorithm in all the cascaded adaptive noise canceller stages.

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Faiz MMU, Zerguine A, Kale I. Random suppression of ECG artifacts using a NLSRLMMN-based cascaded noise canceller. In Matthews MB, editor, Conference Record of the 58th Asilomar Conference on Signals, Systems and Computers, ACSSC 2024. IEEE Computer Society. 2024. p. 1268-1273. (Conference Record - Asilomar Conference on Signals, Systems and Computers). doi: 10.1109/IEEECONF60004.2024.10942836

Random suppression of ECG artifacts using a NLSRLMMN-based cascaded noise canceller

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this