Parallel approach to ECG processing

Koulouris, A; Papakonstantinou, G; Tsanakas, P

dc.contributor.author	Koulouris, A	en
dc.contributor.author	Papakonstantinou, G	en
dc.contributor.author	Tsanakas, P	en
dc.date.accessioned	2014-03-01T02:41:10Z
dc.date.available	2014-03-01T02:41:10Z
dc.date.issued	1996	en
dc.identifier.issn	05891019	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/30396
dc.subject	Cross Correlation	en
dc.subject	Electrocardiogram	en
dc.subject	Parallel Processing	en
dc.subject.other	Algorithms	en
dc.subject.other	Computational methods	en
dc.subject.other	Mathematical transformations	en
dc.subject.other	Parallel processing systems	en
dc.subject.other	Probability	en
dc.subject.other	Waveform analysis	en
dc.subject.other	Euclidean formula	en
dc.subject.other	Nonsyntactic algorithm	en
dc.subject.other	Electrocardiography	en
dc.title	Parallel approach to ECG processing	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/IEMBS.1996.646529	en
heal.identifier.secondary	http://dx.doi.org/10.1109/IEMBS.1996.646529	en
heal.publicationDate	1996	en
heal.abstract	The algorithm presented is based on parallel processing of the Electrocardiogram (ECG) using the information contained in all 12 'simultaneously recorded' leads. A non-syntactic algorithm is used initially to extract the results in every one lead. The computing for each lead is done in 12 parallel processors and concurrently a cross-correlation and evaluation of the individual results is done in the main processor, in order to make the final decision about each detected characteristic. It turns out that this approach gives better and more reliable information than the known methods which are based on conventional methods.	en
heal.publisher	IEEE, Piscataway, NJ, United States	en
heal.journalName	Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings	en
dc.identifier.doi	10.1109/IEMBS.1996.646529	en
dc.identifier.volume	5	en
dc.identifier.spage	2271	en
dc.identifier.epage	2272	en