Bottom-up approach to the ECG pattern-recognition problem

Trahanias, P; Skordalakis, E

dc.contributor.author	Trahanias, P	en
dc.contributor.author	Skordalakis, E	en
dc.date.accessioned	2014-03-01T01:39:31Z
dc.date.available	2014-03-01T01:39:31Z
dc.date.issued	1989	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/22837
dc.subject	Pattern Recognition	en
dc.subject	Bottom Up	en
dc.title	Bottom-up approach to the ECG pattern-recognition problem	en
heal.type	journalArticle	en
heal.identifier.primary	10.1007/BF02441478	en
heal.identifier.secondary	http://dx.doi.org/10.1007/BF02441478	en
heal.publicationDate	1989	en
heal.abstract	A bottom-up approach to the recognition problem in ECG waveforms is presented in the paper. This approach is based on the assumption that ECG waveforms are composite entities that can be decomposed into other simpler entities, these into other simpler ones etc., until peak patterns and segment paterrns are obtained. The peak patterns and the segment patterns are considered primitive	en
heal.journalName	Medical & Biological Engineering & Computing	en
dc.identifier.doi	10.1007/BF02441478	en