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dc.contributor.authorMainardi, LT
dc.contributor.authorBianchi, AM
dc.contributor.authorCerutti, S
dc.date.accessioned2022-02-18T10:51:47Z
dc.date.available2022-02-18T10:51:47Z
dc.identifier.citationCerutti S., Bianchi A., Mainardi L., "Time-varying analysis for the estimation of spectral parameters in cardiovascular variability signals", International Conference of the IEEE Engineering-in-Medicine-and-Biology-Society, Illinois, Amerika Birleşik Devletleri, 30 Ekim - 02 Kasım 1997, cilt.19, ss.2698-2703
dc.identifier.otherav_c267368c-b024-427b-ab57-b4fa270f01d9
dc.identifier.othervv_1032021
dc.identifier.urihttp://hdl.handle.net/20.500.12627/180045
dc.description.abstractThe frequency domain analysis of the heart rare variability (HRV) signal is actually extended to nonstationary situations in order to quantify the autonomic control during physiological or pathological dynamical phenomena. Different methods of time-frequency representation of a signal have been proposed in literature. In the present paper a recursive implementation of the Autoregressive (AR) spectral identification is described together with application in clinical protocols dealing with myocardial ischemia, both spontaneous or induced by and with episodes of vaso-vagal dipyridamol infusion syncope..
dc.language.isoeng
dc.subjectPhysical Sciences
dc.subjectMühendislik ve Teknoloji
dc.subjectGeneral Engineering
dc.subjectEngineering (miscellaneous)
dc.subjectBiomedical Engineering
dc.subjectBioengineering
dc.subjectMÜHENDİSLİK, BİYOMEDİKSEL
dc.subjectMühendislik
dc.subjectMühendislik, Bilişim ve Teknoloji (ENG)
dc.subjectBiyomedikal Mühendisliği
dc.titleTime-varying analysis for the estimation of spectral parameters in cardiovascular variability signals
dc.typeBildiri
dc.contributor.department, ,
dc.identifier.volume19
dc.contributor.firstauthorID3371298


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