PRIMITIVE PATTERN SELECTION AND EXTRACTION IN ECG WAVEFORMS.

Skordalakis, E; Trahanias, P

dc.contributor.author	Skordalakis, E	en
dc.contributor.author	Trahanias, P	en
dc.date.accessioned	2014-03-01T02:47:47Z
dc.date.available	2014-03-01T02:47:47Z
dc.date.issued	1986	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/33338
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-0022986306&partnerID=40&md5=bd8ba1a5fc79cf41faa0d8a45810f12c	en
dc.subject.other	BIOMEDICAL ENGINEERING - Electrocardiography	en
dc.subject.other	WAVEFORM ANALYSIS	en
dc.subject.other	FEATURE EXTRACTION	en
dc.subject.other	PATTERN RECOGNITION	en
dc.title	PRIMITIVE PATTERN SELECTION AND EXTRACTION IN ECG WAVEFORMS.	en
heal.type	conferenceItem	en
heal.publicationDate	1986	en
heal.abstract	The problem of primitive pattern selection in syntactic pattern recognition is a fundamental one. No method exists as yet for automatically solving it. A solution to this problem with respect to electrocardiogram (ECG) waveforms is presented. It consists of a set of three primitive patterns, namely, the peak, the line segment, and the parabolic segment. The extraction of the primitive patterns from the raw data is also a problem. A solution to this problem is presented which concerns the selected set of primitive patterns.	en
heal.publisher	IEEE, New York, NY, USA	en
heal.journalName	Proceedings - International Conference on Pattern Recognition	en
dc.identifier.spage	380	en
dc.identifier.epage	382	en