PGLM: Piecewise Generalized Linear Modeling of Ventricular Repolarization for Estimation of ECG T-wave Alternans

<p dir="ltr">In ECG signals, T-wave alternans (TWA) are attributed to the variations in amplitude, phase, or shape of every alternating T- wave. TWA has been associated with lethal cardiac arrhythmia leading to sudden cardiac death (SCD). In cardiac research, TWA refers to microscopi...

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محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Ali Raza (21170873) (author)
مؤلفون آخرون: Ehsan Ullah (2698921) (author), Kamran Javed (21726248) (author), Muhammad Majid (5514389) (author), Zubair Saeed (21643556) (author)
منشور في: 2025
الموضوعات:
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_version_ 1864513543671382016
author Ali Raza (21170873)
author2 Ehsan Ullah (2698921)
Kamran Javed (21726248)
Muhammad Majid (5514389)
Zubair Saeed (21643556)
author2_role author
author
author
author
author_facet Ali Raza (21170873)
Ehsan Ullah (2698921)
Kamran Javed (21726248)
Muhammad Majid (5514389)
Zubair Saeed (21643556)
author_role author
dc.creator.none.fl_str_mv Ali Raza (21170873)
Ehsan Ullah (2698921)
Kamran Javed (21726248)
Muhammad Majid (5514389)
Zubair Saeed (21643556)
dc.date.none.fl_str_mv 2025-07-15T00:00:00Z
dc.identifier.none.fl_str_mv 10.1186/s13634-025-01227-6
dc.relation.none.fl_str_mv https://figshare.com/articles/journal_contribution/PGLM_Piecewise_Generalized_Linear_Modeling_of_Ventricular_Repolarization_for_Estimation_of_ECG_T-wave_Alternans/29581193
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Biomedical and clinical sciences
Cardiovascular medicine and haematology
Engineering
Biomedical engineering
Communications engineering
Electrocardiogram
T-wave Alternans
Modified moving average method
Cardiac Arrhythmia
Signal Processing
dc.title.none.fl_str_mv PGLM: Piecewise Generalized Linear Modeling of Ventricular Repolarization for Estimation of ECG T-wave Alternans
dc.type.none.fl_str_mv Text
Journal contribution
info:eu-repo/semantics/publishedVersion
text
contribution to journal
description <p dir="ltr">In ECG signals, T-wave alternans (TWA) are attributed to the variations in amplitude, phase, or shape of every alternating T- wave. TWA has been associated with lethal cardiac arrhythmia leading to sudden cardiac death (SCD). In cardiac research, TWA refers to microscopic TWA as its amplitude ranges in microvolts (ţV). Detection and estimation of TWA in embed noises are still challenging as require elaborated signal processing techniques. Cardiac signals are non-stationary and least-squares methods have an edge over spectral methods as signals’ nature is not compromised. This study presents a new piecewise generalized linear modeling (PGLM) for TWA estimation by exploiting Runge’s phenomenon associated with a higher-order polynomial. A comparative study of the proposed PGLM and least-squares polynomial modeling (LSPM) with the modified moving average method (MMAM) as a benchmark method is also presented. The LSPM requires a higher-order polynomial for TWA estimation and suffers signal oscillation at junction points due to Runge’s phenomenon. The proposed model outperforms MMAM for TWA estimation for a noise range of 10–40 dB with TWA amplitude variations 5–100 microvolts for stationary, non-stationary, and phase-changing TWA. The PGLM is computationally simpler and presents a powerful technique for TWA amplitude estimation for the clinical study of cardiac arrhythmia.</p><h2>Other Information</h2><p dir="ltr">Published in: EURASIP Journal on Advances in Signal Processing<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://doi.org/10.1186/s13634-025-01227-6" target="_blank">https://doi.org/10.1186/s13634-025-01227-6</a></p><p dir="ltr">Additional institutions affiliated with: Department of Electrical and Computer Engineering - TAMUQ</p>
eu_rights_str_mv openAccess
id Manara2_3e9b8f577d87dc0f1b0fd3896016f2ae
identifier_str_mv 10.1186/s13634-025-01227-6
network_acronym_str Manara2
network_name_str Manara2
oai_identifier_str oai:figshare.com:article/29581193
publishDate 2025
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spelling PGLM: Piecewise Generalized Linear Modeling of Ventricular Repolarization for Estimation of ECG T-wave AlternansAli Raza (21170873)Ehsan Ullah (2698921)Kamran Javed (21726248)Muhammad Majid (5514389)Zubair Saeed (21643556)Biomedical and clinical sciencesCardiovascular medicine and haematologyEngineeringBiomedical engineeringCommunications engineeringElectrocardiogramT-wave AlternansModified moving average methodCardiac ArrhythmiaSignal Processing<p dir="ltr">In ECG signals, T-wave alternans (TWA) are attributed to the variations in amplitude, phase, or shape of every alternating T- wave. TWA has been associated with lethal cardiac arrhythmia leading to sudden cardiac death (SCD). In cardiac research, TWA refers to microscopic TWA as its amplitude ranges in microvolts (ţV). Detection and estimation of TWA in embed noises are still challenging as require elaborated signal processing techniques. Cardiac signals are non-stationary and least-squares methods have an edge over spectral methods as signals’ nature is not compromised. This study presents a new piecewise generalized linear modeling (PGLM) for TWA estimation by exploiting Runge’s phenomenon associated with a higher-order polynomial. A comparative study of the proposed PGLM and least-squares polynomial modeling (LSPM) with the modified moving average method (MMAM) as a benchmark method is also presented. The LSPM requires a higher-order polynomial for TWA estimation and suffers signal oscillation at junction points due to Runge’s phenomenon. The proposed model outperforms MMAM for TWA estimation for a noise range of 10–40 dB with TWA amplitude variations 5–100 microvolts for stationary, non-stationary, and phase-changing TWA. The PGLM is computationally simpler and presents a powerful technique for TWA amplitude estimation for the clinical study of cardiac arrhythmia.</p><h2>Other Information</h2><p dir="ltr">Published in: EURASIP Journal on Advances in Signal Processing<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://doi.org/10.1186/s13634-025-01227-6" target="_blank">https://doi.org/10.1186/s13634-025-01227-6</a></p><p dir="ltr">Additional institutions affiliated with: Department of Electrical and Computer Engineering - TAMUQ</p>2025-07-15T00:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1186/s13634-025-01227-6https://figshare.com/articles/journal_contribution/PGLM_Piecewise_Generalized_Linear_Modeling_of_Ventricular_Repolarization_for_Estimation_of_ECG_T-wave_Alternans/29581193CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/295811932025-07-15T00:00:00Z
spellingShingle PGLM: Piecewise Generalized Linear Modeling of Ventricular Repolarization for Estimation of ECG T-wave Alternans
Ali Raza (21170873)
Biomedical and clinical sciences
Cardiovascular medicine and haematology
Engineering
Biomedical engineering
Communications engineering
Electrocardiogram
T-wave Alternans
Modified moving average method
Cardiac Arrhythmia
Signal Processing
status_str publishedVersion
title PGLM: Piecewise Generalized Linear Modeling of Ventricular Repolarization for Estimation of ECG T-wave Alternans
title_full PGLM: Piecewise Generalized Linear Modeling of Ventricular Repolarization for Estimation of ECG T-wave Alternans
title_fullStr PGLM: Piecewise Generalized Linear Modeling of Ventricular Repolarization for Estimation of ECG T-wave Alternans
title_full_unstemmed PGLM: Piecewise Generalized Linear Modeling of Ventricular Repolarization for Estimation of ECG T-wave Alternans
title_short PGLM: Piecewise Generalized Linear Modeling of Ventricular Repolarization for Estimation of ECG T-wave Alternans
title_sort PGLM: Piecewise Generalized Linear Modeling of Ventricular Repolarization for Estimation of ECG T-wave Alternans
topic Biomedical and clinical sciences
Cardiovascular medicine and haematology
Engineering
Biomedical engineering
Communications engineering
Electrocardiogram
T-wave Alternans
Modified moving average method
Cardiac Arrhythmia
Signal Processing