An attribute grammar for QRS detection

Papakonstantinou, G; Skordalakis, E; Gritzali, F

dc.contributor.author	Papakonstantinou, G	en
dc.contributor.author	Skordalakis, E	en
dc.contributor.author	Gritzali, F	en
dc.date.accessioned	2014-03-01T01:06:32Z
dc.date.available	2014-03-01T01:06:32Z
dc.date.issued	1986	en
dc.identifier.issn	0031-3203	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/9452
dc.subject	Attribute grammars	en
dc.subject	ECG waveforms	en
dc.subject	QRS complex	en
dc.subject	QRS detection	en
dc.subject	Syntactic pattern recognition	en
dc.subject.classification	Computer Science, Artificial Intelligence	en
dc.subject.classification	Engineering, Electrical & Electronic	en
dc.subject.other	AUTOMATA THEORY	en
dc.subject.other	PATTERN RECOGNITION - Medical Applications	en
dc.subject.other	ATTRIBUTE GRAMMAR	en
dc.subject.other	AUTOMATIC ELECTROCARDIOGRAM	en
dc.subject.other	QRS DETECTION	en
dc.subject.other	SYNTACTIC ALGORITHM	en
dc.subject.other	SYNTACTIC PATTERN RECOGNITON	en
dc.subject.other	BIOMEDICAL ENGINEERING	en
dc.title	An attribute grammar for QRS detection	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/0031-3203(86)90055-5	en
heal.identifier.secondary	http://dx.doi.org/10.1016/0031-3203(86)90055-5	en
heal.language	English	en
heal.publicationDate	1986	en
heal.abstract	In automatic electrocardiogram (ECG) processing the detection of the QRS complexes is of fundamental importance. Many algorithms have been developed for this purpose. These algorithms are divided into three categories: (1) non-syntactic (2) syntactic and (3) hybrid. A syntactic algorithm, described by an attribute grammar, is presented in this paper. © 1986.	en
heal.publisher	PERGAMON-ELSEVIER SCIENCE LTD	en
heal.journalName	Pattern Recognition	en
dc.identifier.doi	10.1016/0031-3203(86)90055-5	en
dc.identifier.isi	ISI:A1986D301100006	en
dc.identifier.volume	19	en
dc.identifier.issue	4	en
dc.identifier.spage	297	en
dc.identifier.epage	303	en