Power spectral estimation of HRV in patients with vasovagal syncope using time-frequency analysis

Author

Lee, Jeongwhan ; Lee, Joonyoung ; Kim, Jeonghoon ; Kim, Joonsoo ; Lee, Myoungho

Author_Institution

Dept. of Electr. & Comput. Eng., Yonsei Univ., Seoul, South Korea

Volume

2

fYear

2000

fDate

2000

Firstpage

953

Abstract

In this study, the application of Time-Frequency Analysis (TFA) to Heart Rate Variability (HRV), which makes dynamic changes of spectral components observable, was discussed. To this end, a Smoothed-Pseudo Wigner-Ville distribution (SPWVD) was applied to HRV in patients with vasovagal Syncope. To access the performance of TFA of HRV using SPWVD, the resultant power spectrum was compared with that obtained by the classical AR model. As a result, it has been shown that TFA of HRV is a very effective method in the power spectral analysis and also provides an observation of time-varying spectral components

Keywords

electrocardiography; spectral analysis; time-frequency analysis; ECG analysis; Smoothed-Pseudo Wigner-Ville distribution; classical AR model; electrodiagnostics; power spectral estimation; spectral components changes; time-varying spectral components; vasovagal syncope patients; Blood pressure; Cardiac disease; Data acquisition; Heart rate; Heart rate variability; Injuries; Pressure control; Spectral analysis; Testing; Time frequency analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2000. Proceedings of the 22nd Annual International Conference of the IEEE

Conference_Location

Chicago, IL

ISSN

1094-687X

Print_ISBN

0-7803-6465-1

Type

conf

DOI

10.1109/IEMBS.2000.897878

Filename

897878