Kansikuva

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...

Täydet tiedot

Tallennettuna:
Bibliografiset tiedot
Päätekijä: Khawaja, Antoun (auth)
Aineistotyyppi: Elektroninen Kirjan osa
Kieli:englanti
Julkaistu: KIT Scientific Publishing 2007
Sarja:Karlsruhe transactions on biomedical engineering
Aiheet:
Technology: general issues
Wavelet
TdP
Baseline Wander
ECG
Torsade de Points
Feature Extraction
Biosignal Pr
Multi-Channel ECG
Principal Component Analysis
PCA
Linkit:DOAB: download the publication
DOAB: description of the publication
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Kuvaus
Yhteenveto: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.
Ulkoasu:1 electronic resource (214 p.)
ISBN:KSP/1000006642
9783866441323
Pääsy:Open Access

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