A decentralized multichannel length transformation algorithm and its parallel implementation for real-time ECG monitoring

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	2014-03-01T01:15:25Z
dc.date.available	2014-03-01T01:15:25Z
dc.date.issued	2000	en
dc.identifier.issn	0010-4809	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/13482
dc.subject	ECG processing	en
dc.subject	QRS detection	en
dc.subject	length transformation	en
dc.subject	parallel virtual machine (PVM)	en
dc.subject	parallel ECG monitoring	en
dc.subject.classification	Computer Science, Interdisciplinary Applications	en
dc.subject.classification	Medical Informatics	en
dc.subject.other	WAVE	en
dc.title	A decentralized multichannel length transformation algorithm and its parallel implementation for real-time ECG monitoring	en
heal.type	journalArticle	en
heal.identifier.primary	10.1006/cbmr.2000.1544	en
heal.identifier.secondary	http://dx.doi.org/10.1006/cbmr.2000.1544	en
heal.language	English	en
heal.publicationDate	2000	en
heal.abstract	Multichannel algorithms have been developed for more accurate analysis of electrocardio-grams (ECGs). Their benefit is the ability to use the information contained in all simultaneously acquired channels. In this paper we present a multichannel version of a nonsyntactic algorithm, based on length transformation. The proposed algorithm uses a decentralized schema for combining the results derived from each individual lead, instead of a global/centralized one (a spatial vector approach). Its performance was evaluated using the CSE database and real ECGs acquired by a Il-lc nd cardiograph. The results are also compared with previous-single channel and multichannel-versions of the algorithm, showing a better performance. Since a multichannel algorithm is always a time-consuming task, it is rarely used in real-time monitoring systems. Motivated by this observation, we designed a parallel implementation of the proposed algorithm and tested its ability to be used in such systems. (C) 2000 Academic Press.	en
heal.publisher	ACADEMIC PRESS INC	en
heal.journalName	COMPUTERS AND BIOMEDICAL RESEARCH	en
dc.identifier.doi	10.1006/cbmr.2000.1544	en
dc.identifier.isi	ISI:000088950600001	en
dc.identifier.volume	33	en
dc.identifier.issue	4	en
dc.identifier.spage	227	en
dc.identifier.epage	244	en