Autonomic function assessment using analysis of heart rate variability
UNSPECIFIED (1997) Autonomic function assessment using analysis of heart rate variability. In: 3rd IFAC Symposium on Modelling and Control in Biomedical Systems, UNIV WARWICK, COVENTRY, ENGLAND, MAR, 1997. Published in: CONTROL ENGINEERING PRACTICE, 5 (12). pp. 1731-1737.Full text not available from this repository.
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|
|Official Date:||December 1997|
|Number of Pages:||7|
|Page Range:||pp. 1731-1737|
|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|
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