ECG Artifacts Suppression Using the NLSRA-Based Cascaded Fixed Point Interference Canceller

Mohammed Mujahid Ulla Faiz; Azzedine Zerguine; Izzet Kale

doi:10.1109/APCCAS60141.2023.00078

ECG Artifacts Suppression Using the NLSRA-Based Cascaded Fixed Point Interference 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

3 Scopus citations

Abstract

The newly proposed Normalized Leaky Sign Regressor Algorithm (NLSRA) is used in a cascaded fixed point interference canceller for ElectroCardioGram (ECG) artifacts suppression application. An upper bound for the NLSRA algorithm step size is also derived. The various parameters of the NLSRA-based cascaded fixed point interference canceller are quantized using the convergent round method. The quantization bit depth required for the various parameters of the NLSRA-based cascaded fixed point interference canceller is found through MATLAB simulations for the most effective ECG artifacts suppression.

Original language	English
Title of host publication	Proceedings - 2023 19th IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	319-322
Number of pages	4
ISBN (Electronic)	9798350381191
DOIs	https://doi.org/10.1109/APCCAS60141.2023.00078
State	Published - 2023
Event	19th IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2023 - Hyderabad, India Duration: 19 Nov 2023 → 22 Nov 2023

Publication series

Name	Proceedings - 2023 19th IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2023

Conference

Conference	19th IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2023
Country/Territory	India
City	Hyderabad
Period	19/11/23 → 22/11/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

Artifacts
ECG
NLSRA
bit depth
fixed point

ASJC Scopus subject areas

Hardware and Architecture
Electrical and Electronic Engineering
Safety, Risk, Reliability and Quality
Instrumentation

Access to Document

10.1109/APCCAS60141.2023.00078

Cite this

Faiz, M. M. U., Zerguine, A., & Kale, I. (2023). ECG Artifacts Suppression Using the NLSRA-Based Cascaded Fixed Point Interference Canceller. In Proceedings - 2023 19th IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2023 (pp. 319-322). (Proceedings - 2023 19th IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/APCCAS60141.2023.00078

Faiz, Mohammed Mujahid Ulla ; Zerguine, Azzedine ; Kale, Izzet. / ECG Artifacts Suppression Using the NLSRA-Based Cascaded Fixed Point Interference Canceller. Proceedings - 2023 19th IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2023. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 319-322 (Proceedings - 2023 19th IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2023).

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title = "ECG Artifacts Suppression Using the NLSRA-Based Cascaded Fixed Point Interference Canceller",

abstract = "The newly proposed Normalized Leaky Sign Regressor Algorithm (NLSRA) is used in a cascaded fixed point interference canceller for ElectroCardioGram (ECG) artifacts suppression application. An upper bound for the NLSRA algorithm step size is also derived. The various parameters of the NLSRA-based cascaded fixed point interference canceller are quantized using the convergent round method. The quantization bit depth required for the various parameters of the NLSRA-based cascaded fixed point interference canceller is found through MATLAB simulations for the most effective ECG artifacts suppression.",

keywords = "Artifacts, ECG, NLSRA, bit depth, fixed point",

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note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 19th IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2023 ; Conference date: 19-11-2023 Through 22-11-2023",

year = "2023",

doi = "10.1109/APCCAS60141.2023.00078",

language = "English",

series = "Proceedings - 2023 19th IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2023",

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Faiz, MMU, Zerguine, A & Kale, I 2023, ECG Artifacts Suppression Using the NLSRA-Based Cascaded Fixed Point Interference Canceller. in Proceedings - 2023 19th IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2023. Proceedings - 2023 19th IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2023, Institute of Electrical and Electronics Engineers Inc., pp. 319-322, 19th IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2023, Hyderabad, India, 19/11/23. https://doi.org/10.1109/APCCAS60141.2023.00078

ECG Artifacts Suppression Using the NLSRA-Based Cascaded Fixed Point Interference Canceller. / Faiz, Mohammed Mujahid Ulla; Zerguine, Azzedine; Kale, Izzet.
Proceedings - 2023 19th IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 319-322 (Proceedings - 2023 19th IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2023).

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

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AU - Faiz, Mohammed Mujahid Ulla

AU - Zerguine, Azzedine

AU - Kale, Izzet

PY - 2023

Y1 - 2023

N2 - The newly proposed Normalized Leaky Sign Regressor Algorithm (NLSRA) is used in a cascaded fixed point interference canceller for ElectroCardioGram (ECG) artifacts suppression application. An upper bound for the NLSRA algorithm step size is also derived. The various parameters of the NLSRA-based cascaded fixed point interference canceller are quantized using the convergent round method. The quantization bit depth required for the various parameters of the NLSRA-based cascaded fixed point interference canceller is found through MATLAB simulations for the most effective ECG artifacts suppression.

AB - The newly proposed Normalized Leaky Sign Regressor Algorithm (NLSRA) is used in a cascaded fixed point interference canceller for ElectroCardioGram (ECG) artifacts suppression application. An upper bound for the NLSRA algorithm step size is also derived. The various parameters of the NLSRA-based cascaded fixed point interference canceller are quantized using the convergent round method. The quantization bit depth required for the various parameters of the NLSRA-based cascaded fixed point interference canceller is found through MATLAB simulations for the most effective ECG artifacts suppression.

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KW - ECG

KW - NLSRA

KW - bit depth

KW - fixed point

UR - https://www.scopus.com/pages/publications/85192801035

U2 - 10.1109/APCCAS60141.2023.00078

DO - 10.1109/APCCAS60141.2023.00078

M3 - Conference contribution

AN - SCOPUS:85192801035

T3 - Proceedings - 2023 19th IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2023

SP - 319

EP - 322

BT - Proceedings - 2023 19th IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 19th IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2023

Y2 - 19 November 2023 through 22 November 2023

ER -

Faiz MMU, Zerguine A, Kale I. ECG Artifacts Suppression Using the NLSRA-Based Cascaded Fixed Point Interference Canceller. In Proceedings - 2023 19th IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 319-322. (Proceedings - 2023 19th IEEE Asia Pacific Conference on Circuits and Systems, APCCAS 2023). doi: 10.1109/APCCAS60141.2023.00078

ECG Artifacts Suppression Using the NLSRA-Based Cascaded Fixed Point Interference Canceller

Abstract

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Bibliographical note

Keywords

ASJC Scopus subject areas

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