HRV spectrum analysis to observe the changes in ANS caused by sympathectomy and vagotomy

Author

Yeo, H.S. ; Park, J.W. ; Im, J.J. ; Lee, S.J.

Author_Institution

Dept. of Biomed. Eng., Inje Univ., Kyungnahm, South Korea

fYear

1998

fDate

29 Oct-1 Nov 1998

Firstpage

298

Abstract

In this study, 14 rats were used and divided into two groups, sympathectomy group (7) and vagotomy group (7). Five experimental conditions were devised, anesthetized, skin incision, neurotomy, skin suture, and recovery. During experiment, ECGs of rats were collected three times at each experimental condition for the duration of 5 minutes. After the application of Berger´s series algorithm to ECG raw data, HRV spectrum was obtained via FFT. Two peak values representing autonomic nervous system status, HF and LF, were used to extract the parameter, HF/LF ratio. Results showed that HF/LF values were increased for the sympathectomy group and decreased for the vagotomy group. It implies that the variations in HF/LF components exhibit the information for the classification of ANS function quantitatively

Keywords

electrocardiography; medical signal processing; neurophysiology; signal classification; spectral analysis; time series; Berger´s series algorithm; ECG data; FFT; R-R intervals; autonomic neural system changes; heart rate variability spectrum analysis; sympathectomy; time series; vagotomy; Autonomic nervous system; Data mining; Electrocardiography; Frequency; Hafnium; Heart rate variability; Nervous system; Rats; Signal analysis; Skin;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE

Conference_Location

Hong Kong

ISSN

1094-687X

Print_ISBN

0-7803-5164-9

Type

conf

DOI

10.1109/IEMBS.1998.745901

Filename

745901