Spectral analysis of HRV by means of time frequency distributions: application to ischemia analysis

Author

Vila, J.A. ; Presedo, Jesus ; Fernandez-Delgado, M. ; Barro, Senen

Author_Institution

Dept. Electron. y Comput., Santiago de Compostela Univ.

Volume

4

fYear

1996

fDate

31 Oct-3 Nov 1996

Firstpage

1628

Abstract

The analysis of heart rate variability (HRV) is currently used as a means for non invasively researching the autonomous control of the cardiovascular system. In this analysis it is very important to have a good temporal resolution as the phenomena analyzed may present a very short duration. We show the advantage of the use of time frequency distributions (TFD) with respect to the classical spectrogram. We show that given the characteristics of the HRV signal, it is advisable to use adaptive kernels in order to improve the temporal resolution. Finally, we comment on the results obtained applying this technique to the analysis of ischemic episodes

Keywords

adaptive signal processing; biocontrol; cardiology; medical signal processing; neurophysiology; spectral analysis; time-frequency analysis; adaptive kernels; autonomous control; autonomous nervous system; cardiovascular system; classical spectrogram; heart activity regulating function; heart rate variability signal; ischemia analysis; ischemic episodes; spectral analysis; temporal resolution; time frequency distributions; Heart rate variability; Hospitals; Ischemic pain; Kernel; Nervous system; Signal analysis; Signal resolution; Spectral analysis; Spectrogram; Time frequency analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE

Conference_Location

Amsterdam

Print_ISBN

0-7803-3811-1

Type

conf

DOI

10.1109/IEMBS.1996.647585

Filename

647585