Continuous monitoring of the sympatho-vagal balance through spectral analysis

Author

Bianchi, Anna M. ; Mainardi, Luca T. ; Meloni, Carlo ; Chierchiu, S. ; Cerutti, Sergio

Author_Institution

Lab. of Biomed. Eng, Rolfaele Hosp., Milan, Italy

Volume

16

Issue

5

fYear

1997

Firstpage

64

Lastpage

73

Abstract

The activity of the autonomic nervous system is noninvasively studied by means of autoregressive (AR) frequency analysis of the heart-rate variability (HRV) signal. Some methods of noise rejection and robustness for AR recursive identification are presented that make on-line frequency analysis of the heart-rate variability signal more reliable. The performance of the algorithms is first tested through simulations, and then results obtained on real data during ischemic episodes are presented

Keywords

autoregressive processes; biocontrol; electrocardiography; medical signal processing; neurophysiology; patient monitoring; recursive estimation; spectral analysis; Holter recordings; algorithms; autonomic nervous system; autoregressive frequency analysis; continuous monitoring; heart-rate variability signal; ischemic episodes; real data; simulations; spectral analysis; sympatho-vagal balance; Analysis of variance; Heart rate variability; Ischemic pain; Monitoring; Nervous system; Noise robustness; Resonant frequency; Signal analysis; Signal processing; Spectral analysis;

fLanguage

English

Journal_Title

Engineering in Medicine and Biology Magazine, IEEE

Publisher

ieee

ISSN

0739-5175

Type

jour

DOI

10.1109/51.620497

Filename

620497