Automatic ECG analysis using principal component analysis and wavelet transformation

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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Bibliographic Details
Main Author: Khawaja, Antoun (auth)
Format: Electronic Book Chapter
Language:English
Published: KIT Scientific Publishing 2007
Series:Karlsruhe transactions on biomedical engineering
Subjects:
Technology: general issues
Wavelet
TdP
Baseline Wander
ECG
Torsade de Points
Feature Extraction
Biosignal Pr
Multi-Channel ECG
Principal Component Analysis
PCA
Online Access:DOAB: download the publication
DOAB: description of the publication
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Description
Summary: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.
Physical Description:1 electronic resource (214 p.)
ISBN:KSP/1000006642
9783866441323
Access:Open Access

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