QRS detection through time recursive prediction techniques

Kyrkos, A; Giakoumakis, EA; Carayannis, G

dc.contributor.author	Kyrkos, A	en
dc.contributor.author	Giakoumakis, EA	en
dc.contributor.author	Carayannis, G	en
dc.date.accessioned	2014-03-01T01:07:14Z
dc.date.available	2014-03-01T01:07:14Z
dc.date.issued	1988	en
dc.identifier.issn	0165-1684	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/9876
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-0024136749&partnerID=40&md5=a5cd876e3a6ee037011e519db8274085	en
dc.subject	algorithms	en
dc.subject	ECG	en
dc.subject	prediction	en
dc.subject	QRS	en
dc.subject	recursive	en
dc.subject.classification	Engineering, Electrical & Electronic	en
dc.subject.other	Biomedical Engineering--Electrocardiography	en
dc.subject.other	Computer Programming--Algorithms	en
dc.subject.other	Signal Filtering and Prediction	en
dc.subject.other	ECG Signals	en
dc.subject.other	Event Detection	en
dc.subject.other	Histograms	en
dc.subject.other	QRS Detection	en
dc.subject.other	Reference Algorithms	en
dc.subject.other	Time Recursive Prediction	en
dc.subject.other	Signal Detection	en
dc.title	QRS detection through time recursive prediction techniques	en
heal.type	journalArticle	en
heal.language	English	en
heal.publicationDate	1988	en
heal.abstract	The purpose of this paper is to demonstrate the usefulness of time recursive prediction techniques for ""event detection"". Both 3-lead and 1-lead ECG signals are used and QRS complexes are considered as events to be detected. Several detection criteria are tried and compared. A reference algorithm is employed on a standard ECG data base in order to evaluate the results obtained. A detection accuracy approximating 99% can be reported. Histograms presenting the relative position of detected QRSs to the reference value can be used both for validation of the method and to understand the behavior of recursive least squares algorithms on a specific signal. © 1988.	en
heal.publisher	ELSEVIER SCIENCE BV	en
heal.journalName	Signal Processing	en
dc.identifier.isi	ISI:A1988R165800006	en
dc.identifier.volume	15	en
dc.identifier.issue	4	en
dc.identifier.spage	429	en
dc.identifier.epage	436	en