UNSPECIFIED (1997) Autonomic function assessment using analysis of heart rate variability. In: 3rd IFAC Symposium on Modelling and Control in Biomedical Systems, MAR, 1997, UNIV WARWICK, COVENTRY, ENGLAND.

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Abstract

Analysis of changes in heart rate can be useful in determining the state of various body systems. In particular the analysis of heart rate variability (HRV) is used in the assessment of autonomic function. This paper uses the discrete harmonic wavelet transform for a time-frequency analysis of HRV data to show changes in spectral power over time. Signals representing patient heart rate are presented, and methods for spectral and time-frequency analysis are described. Three sets of patient data are then analysed using these methods. The results show the potential of time-frequency analysis in the assessment of medical disorders, such as the sleep apnoea syndrome, where transient alterations in autonomic function occur. Copyright (C) 1997 Elsevier Science Ltd.

Item Type:	Conference Item (UNSPECIFIED)
Subjects:	T Technology > TL Motor vehicles. Aeronautics. Astronautics T Technology > TK Electrical engineering. Electronics Nuclear engineering
Journal or Publication Title:	CONTROL ENGINEERING PRACTICE
Publisher:	PERGAMON-ELSEVIER SCIENCE LTD
ISSN:	0967-0661
Date:	December 1997
Volume:	5
Number:	12
Number of Pages:	7
Page Range:	pp. 1731-1737
Publication Status:	Published
Title of Event:	3rd IFAC Symposium on Modelling and Control in Biomedical Systems
Location of Event:	UNIV WARWICK, COVENTRY, ENGLAND
Date(s) of Event:	MAR, 1997
URI:	http://wrap.warwick.ac.uk/id/eprint/16178

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