A generic environment for linear and nonlinear ECC processing

Tombros, S; Tselikis, G; Marakas, S; Protonotarios, E; Koutsouris, D; Toutouzas, P

dc.contributor.author	Tombros, S	en
dc.contributor.author	Tselikis, G	en
dc.contributor.author	Marakas, S	en
dc.contributor.author	Protonotarios, E	en
dc.contributor.author	Koutsouris, D	en
dc.contributor.author	Toutouzas, P	en
dc.date.accessioned	2014-03-01T01:43:35Z
dc.date.available	2014-03-01T01:43:35Z
dc.date.issued	1995	en
dc.identifier.issn	09287329	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/24158
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-0028806792&partnerID=40&md5=d1c051fccf2e8cf5ca13b3825ff4fd3f	en
dc.subject	Cardiac function	en
dc.subject	Computer modelling	en
dc.subject	EGG	en
dc.subject	Linear	en
dc.subject	Non-linear processing	en
dc.subject.other	article	en
dc.subject.other	computer analysis	en
dc.subject.other	electrocardiogram	en
dc.subject.other	heart disease	en
dc.subject.other	priority journal	en
dc.subject.other	Adult	en
dc.subject.other	Algorithms	en
dc.subject.other	Electrocardiography	en
dc.subject.other	Heart Diseases	en
dc.subject.other	Homeostasis	en
dc.subject.other	Human	en
dc.subject.other	Linear Models	en
dc.subject.other	Nonlinear Dynamics	en
dc.subject.other	Prognosis	en
dc.subject.other	Signal Processing, Computer-Assisted	en
dc.title	A generic environment for linear and nonlinear ECC processing	en
heal.type	journalArticle	en
heal.publicationDate	1995	en
heal.abstract	Every aspect of cardiac function such as contractibility, depolarization and repolarization of cardiac cells, firing rate of pacemaker cells, is under a complex neurohumoral regulation. Especially the autonomic neuron system through the interplay of its two opposing components, sympathetic and parasympathetic (vagal), is controlling cardiac function on a beat to beat basis. Moreover, the interaction of sympathetic and parasympathetic systems is a non-linear function, with sympathetic tone modulating the response of vagal activation. It has been shown that the power of frequency components and especially the ratio of low to high frequency power spectra of heart rate variability are reliable indicators of sympathovagal balance (A. Malliani et al. 1991. Cardiovascular Neural regulation explored in the frequency domain. Circulation, 84 (2) 482-484. The most known algorithms of linear and non-linear signal processing have been applied to the ECG data recorded from healthy and high risk individuals. These methods together with the study and analysis of QRS frequency spectrum will lead to very useful conclusions with diagnostic and prognostic information. In this paper we will briefly describe the mathematical aspect of these algorithms presenting their results for normal and pathological ECG signals.	en
heal.journalName	Technology and Health Care	en
dc.identifier.volume	3	en
dc.identifier.issue	2	en
dc.identifier.spage	123	en
dc.identifier.epage	130	en