Automatic ECG analysis using principal component analysis and wavelet transformation

dc.creator	Khawaja, Antoun
dc.date.accessioned	2020-11-03T15:36:36Z
dc.date.available	2020-11-03T15:36:36Z
dc.date.created	2007
dc.description.abstractenglish	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.	spa
dc.format.extent	246 páginas	spa
dc.format.mimetype	application/pdf	spa
dc.identifier.doi	10.5445/KSP/1000006642
dc.identifier.isbn	978-3-866-44132-3
dc.identifier.issn	1864-5933
dc.identifier.other	https://www.ksp.kit.edu/9783866441323
dc.identifier.uri	https://hdl.handle.net/20.500.12010/15216
dc.language.iso	eng	spa
dc.publisher	KIT Scientific Publishing	spa
dc.rights.accessrights	info:eu-repo/semantics/openAccess	spa
dc.rights.local	Abierto (Texto Completo)	spa
dc.subject	Tecnología	spa
dc.subject.keyword	Torsade de points	spa
dc.subject.lemb	Análisis de componentes	spa
dc.subject.lemb	Transformación de ondas	spa
dc.subject.lemb	Análisis automático	spa
dc.subject.lemb	Extracción de características	spa
dc.title	Automatic ECG analysis using principal component analysis and wavelet transformation	spa
dc.type.coar	http://purl.org/coar/resource_type/c_2f33	spa
dc.type.local	Libro	spa

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