Automatic ECG analysis using principal component analysis and wavelet transformation

The main objective of this book is to analyse and detect small changes in ECG waves and complexes that indicate cardiac diseases and disorders. Detecting predisposition to Torsade de Points (TDP) by analysing the beat-to-beat variability in T wave morphology is the main core of this work. The second...

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Main Author: Khawaja, Antoun
Format: Online
Language:English
Published: KIT Scientific Publishing 2021
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Online Access:35691
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author Khawaja, Antoun
author_browse Khawaja, Antoun
author_facet Khawaja, Antoun
author_sort Khawaja, Antoun
collection Directory of Open Access Books
description The main objective of this book is to analyse and detect small changes in ECG waves and complexes that indicate cardiac diseases and disorders. Detecting predisposition to Torsade de Points (TDP) by analysing the beat-to-beat variability in T wave morphology is the main core of this work. The second main topic is detecting small changes in QRS complex and predicting future QRS complexes of patients. Moreover, the last main topic is clustering similar ECG components in different groups.
format Online
id doab-20.500.12854ir-41640
institution Directory of Open Access Books
language eng
publishDate 2021
publishDateRange 2021
publishDateSort 2021
publisher KIT Scientific Publishing
publisherStr KIT Scientific Publishing
record_format ojs
spelling doab-20.500.12854ir-416402024-04-09T23:16:19Z Automatic ECG analysis using principal component analysis and wavelet transformation Khawaja, Antoun T1-995 Wavelet TdP Baseline Wander ECG Torsade de Points Feature Extraction Biosignal Pr Multi-Channel ECG Principal Component Analysis PCA thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues The main objective of this book is to analyse and detect small changes in ECG waves and complexes that indicate cardiac diseases and disorders. Detecting predisposition to Torsade de Points (TDP) by analysing the beat-to-beat variability in T wave morphology is the main core of this work. The second main topic is detecting small changes in QRS complex and predicting future QRS complexes of patients. Moreover, the last main topic is clustering similar ECG components in different groups. 2021-02-11T08:43:51Z 2021-02-11T08:43:51Z 2019-07-30 20:02:02 2007 book 35691 18645933 9783866441323 https://directory.doabooks.org/handle/20.500.12854/41640 eng Karlsruhe transactions on biomedical engineering image/jpeg Attribution-NonCommercial-NoDerivatives 4.0 International https://www.ksp.kit.edu/9783866441323 KIT Scientific Publishing 10.5445/KSP/1000006642 10.5445/KSP/1000006642 68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2 9783866441323 214 open access
spellingShingle T1-995
Wavelet
TdP
Baseline Wander
ECG
Torsade de Points
Feature Extraction
Biosignal Pr
Multi-Channel ECG
Principal Component Analysis
PCA
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
Khawaja, Antoun
Automatic ECG analysis using principal component analysis and wavelet transformation
title Automatic ECG analysis using principal component analysis and wavelet transformation
title_full Automatic ECG analysis using principal component analysis and wavelet transformation
title_fullStr Automatic ECG analysis using principal component analysis and wavelet transformation
title_full_unstemmed Automatic ECG analysis using principal component analysis and wavelet transformation
title_short Automatic ECG analysis using principal component analysis and wavelet transformation
title_sort automatic ecg analysis using principal component analysis and wavelet transformation
topic T1-995
Wavelet
TdP
Baseline Wander
ECG
Torsade de Points
Feature Extraction
Biosignal Pr
Multi-Channel ECG
Principal Component Analysis
PCA
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
topic_facet T1-995
Wavelet
TdP
Baseline Wander
ECG
Torsade de Points
Feature Extraction
Biosignal Pr
Multi-Channel ECG
Principal Component Analysis
PCA
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
url 35691
work_keys_str_mv AT khawajaantoun automaticecganalysisusingprincipalcomponentanalysisandwavelettransformation