Please use this identifier to cite or link to this item:https://hdl.handle.net/20.500.12259/44146
Type of publication: Straipsnis recenzuojamoje užsienio tarptautinės konferencijos medžiagoje / Article in peer-reviewed foreign international conference proceedings (P1d)
Field of Science: Informatika / Informatics (N009)
Author(s): Žilinskas, Antanas;Žilinskas, Julius;Varoneckas, Audrius
Title: Linear and nonlinear methods in analysis of sleep stages with respect to heart rate
Is part of: PRIP'2005 : the 8nd international conference on pattern recognition and image processing : proceedings (18-20 May 2005, Minsk, Belarus). Minsk : Propilei, 2005
Extent: p. 26-29
Date: 2005
Keywords: Heart rate;Spectral analysis;Nonlinear analysis
ISBN: 9856329558
Abstract: Insomnia is a health disorder affecting a large fraction of population. For the diagnosis of sleep related disorders and diseases it is important to establish the sleep structure of patient. Contemporary diagnostics is based on polysomnography, however this methods is extremely time-consuming and expensive. Results of recent investigations show dependence between some characteristics of heart rate and sleep stages. The procedure of recording of heart rate is comparatively cheap. However, the computer aided conclusions about sleep stages based on analysis of the heart rate still not sufficiently reliable. In the present paper several methods of analysis of heart rate are considered to assess their relevance to the classification of sleep stages. Most intriguing question is on combination of nonlinear and standard methods, e.g. Fourier transforms, for the analysis of the heart rate variability. Some recommendations concerning such combinations are presented
Internet: https://hdl.handle.net/20.500.12259/44146
Affiliation(s): KMU Psichofiziologijos ir reabilitacijos institutas
Vytauto Didžiojo universitetas
Appears in Collections:Universiteto mokslo publikacijos / University Research Publications

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