COMPUTER BASED CARDIAC STATE DIAGNOSIS USING FOURIER ANALYSIS.

Giakoumakis, EA

dc.contributor.author	Giakoumakis, EA	en
dc.date.accessioned	2014-03-01T02:47:36Z
dc.date.available	2014-03-01T02:47:36Z
dc.date.issued	1985	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/33281
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-0022311183&partnerID=40&md5=266fcf3e658b5d548477bf6185cc907b	en
dc.subject.other	MATHEMATICAL TRANSFORMATIONS - Fourier Transforms	en
dc.subject.other	FOURIER ANALYSIS	en
dc.subject.other	BIOMEDICAL ENGINEERING	en
dc.title	COMPUTER BASED CARDIAC STATE DIAGNOSIS USING FOURIER ANALYSIS.	en
heal.type	conferenceItem	en
heal.publicationDate	1985	en
heal.abstract	The most widely used method for diagnosing the state of the heart is the interpretation of the 12-lead ECG. Nevertheless, this interpretation is done without commonly acceptable criteria and involves an elaborate procedure. In this work we are trying to make a classification between a physiological cardiac state and a non-physiological one, by appropriately processing the signal of the II-lead of ECG. In particular after transforming by FFT the II-lead signal we obtain its power spectrum. By considering only two features of this spectrum, we have proved that very satisfactory results are derived as far as the classification of this cardiac state is concerned in the above two categories. The classification is done with the help of Bayes decision theory. The above processing was entirely done with the help of computer facilities.	en
heal.publisher	North-Holland, Amsterdam, Neth	en
heal.journalName	[No source information available]	en
dc.identifier.spage	241	en
dc.identifier.epage	246	en