Hardware design for the computation of heart rate variability

Alexandridi, A; Manis, G

dc.contributor.author	Alexandridi, A	en
dc.contributor.author	Manis, G	en
dc.date.accessioned	2014-03-01T01:51:52Z
dc.date.available	2014-03-01T01:51:52Z
dc.date.issued	2002	en
dc.identifier.issn	03091902	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/26493
dc.subject.other	Cost effectiveness	en
dc.subject.other	Diseases	en
dc.subject.other	Fourier transforms	en
dc.subject.other	Patient monitoring	en
dc.subject.other	Spectrum analysis	en
dc.subject.other	Heart rate	en
dc.subject.other	Medical computing	en
dc.subject.other	article	en
dc.subject.other	autonomic nervous system	en
dc.subject.other	calculation	en
dc.subject.other	cardiovascular disease	en
dc.subject.other	cardiovascular function	en
dc.subject.other	computer	en
dc.subject.other	computer system	en
dc.subject.other	control system	en
dc.subject.other	heart rate	en
dc.subject.other	mathematical analysis	en
dc.subject.other	analysis of variance	en
dc.subject.other	biomedical engineering	en
dc.subject.other	biometry	en
dc.subject.other	electrocardiography	en
dc.subject.other	evaluation	en
dc.subject.other	human	en
dc.subject.other	instrumentation	en
dc.subject.other	Analysis of Variance	en
dc.subject.other	Biomedical Engineering	en
dc.subject.other	Biometry	en
dc.subject.other	Computer Systems	en
dc.subject.other	Computers	en
dc.subject.other	Electrocardiography	en
dc.subject.other	Heart Rate	en
dc.subject.other	Human	en
dc.subject.other	Humans	en
dc.title	Hardware design for the computation of heart rate variability	en
heal.type	journalArticle	en
heal.identifier.primary	10.1080/03091900210123928	en
heal.identifier.secondary	http://dx.doi.org/10.1080/03091900210123928	en
heal.publicationDate	2002	en
heal.abstract	The decrease in heart rate variability is an indication of abnormal heart function. Proposed here is a hardware design of a standalone system that calculates and evaluates heart rate variability, distinguishing healthy from unhealthy subjects. Previous approaches are mostly based on the fast Fourier transform and the power spectral analysis. Described is an alternative approach that follows a recently proposed idea: the analysis of heart rate signals with the use of wavelets. The proposed system follows simple gated architecture and is composed of four main units: a processing unit that prepares the input signal for analysis, a unit that manages control signals, the wavelet computation unit and the wavelet coefficient evaluation unit. The hardware design is cost-effective, simple and easy to implement. Experimental results proved that this system is efficient and produces a clean and accurate separation between the healthy and unhealthy groups of patients for the first nine scales of wavelet analysis.	en
heal.journalName	Journal of Medical Engineering and Technology	en
dc.identifier.doi	10.1080/03091900210123928	en
dc.identifier.volume	26	en
dc.identifier.issue	2	en
dc.identifier.spage	49	en
dc.identifier.epage	62	en