HYBRID APPROACH TO THE QRS DETECTION IN ECG WAVEFORMS.

Giakoumakis, Emmanuel; Papakonstantinou, G; Sideri, M

dc.contributor.author	Giakoumakis, Emmanuel	en
dc.contributor.author	Papakonstantinou, G	en
dc.contributor.author	Sideri, M	en
dc.date.accessioned	2014-03-01T02:47:48Z
dc.date.available	2014-03-01T02:47:48Z
dc.date.issued	1987	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/33356
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-0023538821&partnerID=40&md5=8ca1c3de223edac290c2ce1855a76eb5	en
dc.subject.other	BIOMEDICAL ENGINEERING - Electrocardiography	en
dc.subject.other	PATTERN RECOGNITION	en
dc.subject.other	CONCURRENT PARSING	en
dc.subject.other	GENERAL-PURPOSE ATTRIBUTE GRAMMAR INERPRETER	en
dc.subject.other	NON-LEFT-TO-RIGHT MATCHING	en
dc.subject.other	PRIMITIVE EXTRACTION	en
dc.subject.other	QRS WAVES DETECTION	en
dc.subject.other	WAVEFORM ANALYSIS	en
dc.title	HYBRID APPROACH TO THE QRS DETECTION IN ECG WAVEFORMS.	en
heal.type	conferenceItem	en
heal.publicationDate	1987	en
heal.abstract	A method is proposed for detecting the QRS waves in ECG waveforms that utilizes a general-purpose attribute grammar interpreter. The method overcomes the drawbacks of previous approaches and exhibits the following characteristics: non-left-to-right matching; concurrent parsing and primitive extraction; selective recognition of only the prominent parts of the waveform; determination of all the (syntactically-semantically) correct solutions; and selection at the highest level of the globally optimal solution.	en
heal.publisher	IEEE, New York, NY, USA	en
heal.journalName	IEEE/Engineering in Medicine and Biology Society Annual Conference	en
dc.identifier.spage	1883	en
dc.identifier.epage	1884	en