A new approach used to extract fluctuations in vagal activity-Wigner distribution of heart rate variability

Author

Tang, X. ; Dworkin, B. ; Dworkin, S. ; Reisman, S.

Author_Institution

New Jersey Inst. of Technol., Newark, NJ, USA

Volume

1

fYear

1999

fDate

1999

Abstract

The Wigner Distribution of Heart Date Variability (HRV), is introduced to extract the fluctuations of rats´ vagal activity. Traditional spectral analysis, using FFT or auto-regressive models, of beat-to-beat heart rate variability, is not well suited for tracking transient changes of autonomic function over time. In this study, the Wigner distribution of the HRV was used to derive instantaneous vagal activity by extracting the high frequency component (0.8 Hz to 23 Hz) in the HRV signal for each instant of time (512 msec). To test the effectiveness of the algorithm the derived vagal signal was compared with the real vagal signal recorded from the right cut cervical vagus. The results showed significant agreement

Keywords

Wigner distribution; bioelectric potentials; neurophysiology; spectral analysis; time-frequency analysis; 0.8 to 2.3 Hz; 512 ms; FFT; algorithm effectiveness; autoregressive models; beat-to-beat heart rate variability; derived vagal signal; heart rate variability Wigner distribution; rats; real vagal signal; right cut cervical vagus; traditional spectral analysis; vagal activity fluctuations extraction; Biomedical monitoring; Blood pressure; Educational institutions; Fluctuations; Frequency; Heart rate; Heart rate variability; Rats; Spectral analysis; Transient analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

[Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint

Conference_Location

Atlanta, GA

ISSN

1094-687X

Print_ISBN

0-7803-5674-8

Type

conf

DOI

10.1109/IEMBS.1999.802326

Filename

802326