Robust extraction of autonomous nervous profile using a non-invasive method

Author

Vetter, R. ; Virag, N. ; Renevey, P. ; Krauss, J.

Author_Institution

Swiss Center for Electron. & Microtechnol., Neuchatel, Switzerland

Volume

1

fYear

2003

fDate

17-21 Sept. 2003

Firstpage

216

Abstract

An improved algorithm for the non-invasive estimation of the autonomous nervous profile is presented. It is based on a previously published method using blind source separation on inter-beat intervals and systolic pressure time series. Improvements focus on robust extraction of cardiovascular parameters and management of singular solutions of blind source separation algorithm. Clinical validation has been performed successfully in 104 experiments on 38 subjects. The method has been finally applied to estimate the autonomic nervous profile during vasovagal syncope, and results have been compared to classical heart rate variability methods.

Keywords

biocontrol; blood pressure measurement; electrocardiography; medical signal processing; neurophysiology; patient diagnosis; autonomous nervous profile; blind source separation algorithm; cardiovascular parameters; inter-beat intervals; noninvasive method; robust extraction; systolic pressure time series; vasovagal syncope; Autonomic nervous system; Blind source separation; Blood pressure; Cardiology; Europe; Frequency; Heart rate variability; Myocardium; Robustness; Signal processing algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE

ISSN

1094-687X

Print_ISBN

0-7803-7789-3

Type

conf

DOI

10.1109/IEMBS.2003.1279576

Filename

1279576