Bispectral analysis in Laser Doppler Flowmetry signal processing

Alexopoulos, Vassilios; Kollias, Stefanos

dc.contributor.author	Alexopoulos, Vassilios	en
dc.contributor.author	Kollias, Stefanos	en
dc.date.accessioned	2014-03-01T01:12:38Z
dc.date.available	2014-03-01T01:12:38Z
dc.date.issued	1997	en
dc.identifier.issn	05891019	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/12189
dc.subject	Experimental Study	en
dc.subject	Higher Order Statistics	en
dc.subject	laser doppler flowmetry	en
dc.subject	raynaud's phenomenon	en
dc.subject	Signal Processing	en
dc.subject	Higher Order Spectra	en
dc.subject.other	Diseases	en
dc.subject.other	Feature extraction	en
dc.subject.other	Flow measurement	en
dc.subject.other	Laser Doppler velocimeters	en
dc.subject.other	Signal processing	en
dc.subject.other	Spectrum analysis	en
dc.subject.other	Statistical methods	en
dc.subject.other	Bispectral analysis	en
dc.subject.other	Laser Doppler flowmetry (LDF)	en
dc.subject.other	Raynaud's phenomenon	en
dc.subject.other	Microcirculation	en
dc.title	Bispectral analysis in Laser Doppler Flowmetry signal processing	en
heal.type	journalArticle	en
heal.identifier.primary	10.1109/IEMBS.1997.756553	en
heal.identifier.secondary	http://dx.doi.org/10.1109/IEMBS.1997.756553	en
heal.publicationDate	1997	en
heal.abstract	This paper presents an application of higher order statistics and spectra to the problem of Laser Doppler Flowmerry (LDF) for microcirculation monitoring. The proposed signal processing technique computes the bispectra of LDF signals after appropriate pre-processing and extracts features which can be used for classification of the signals to a normal or patient category. Bispectra are defined in terms of the third-order moments of signals and are shown to contain valuable information for the above classification of LDF signals. Experimental studies, including LDF-signals from patients that have different pathologic characteristics are described and results are presented which illustrate the performance of the proposed approach.	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.1997.756553	en
dc.identifier.volume	3	en
dc.identifier.spage	1134	en
dc.identifier.epage	1137	en