Title :
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
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;
Conference_Titel :
Engineering in Medicine and Biology Society, 2000. Proceedings of the 22nd Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-6465-1
DOI :
10.1109/IEMBS.2000.897878
