SYNTACTIC PATTERN-RECOGNITION OF THE ECG

TRAHANIAS, P; SKORDALAKIS, E

dc.contributor.author	TRAHANIAS, P	en
dc.contributor.author	SKORDALAKIS, E	en
dc.date.accessioned	2014-03-01T01:08:10Z
dc.date.available	2014-03-01T01:08:10Z
dc.date.issued	1990	en
dc.identifier.issn	0162-8828	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/10307
dc.subject	Attribute Grammar	en
dc.subject	Electrocardiogram	en
dc.subject	Pattern Recognition	en
dc.subject	Semantic Information	en
dc.subject	Syntactic Pattern Recognition	en
dc.subject.classification	Computer Science, Artificial Intelligence	en
dc.subject.classification	Engineering, Electrical & Electronic	en
dc.title	SYNTACTIC PATTERN-RECOGNITION OF THE ECG	en
heal.type	journalArticle	en
heal.identifier.primary	10.1109/34.56207	en
heal.identifier.secondary	http://dx.doi.org/10.1109/34.56207	en
heal.language	English	en
heal.publicationDate	1990	en
heal.abstract	An application of the syntactic method to electrocardiogram (ECG) pattern recognition and parameter measurement is presented. Solutions to the related problems of primitive pattern selection, primitive pattern extraction, linguistic representation, and pattern grammar formulation are given. Attribute grammars are used as the model for the pattern grammar because of their descriptive power, founded upon their ability to handle syntactic as	en
heal.publisher	IEEE COMPUTER SOC	en
heal.journalName	IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE	en
dc.identifier.doi	10.1109/34.56207	en
dc.identifier.isi	ISI:A1990DK89400004	en
dc.identifier.volume	12	en
dc.identifier.issue	7	en
dc.identifier.spage	648	en
dc.identifier.epage	657	en