Sub-signal extraction of RR time series using independent component analysis

Author

Vetter, R. ; Celka, P. ; Vesin, J.M. ; Scherrer, U.

Author_Institution

Signal Process. Lab., Fed. Inst. of Technol., Lausanne, Switzerland

fYear

1998

fDate

29 Oct-1 Nov 1998

Firstpage

286

Abstract

We present a novel method for the decomposition of RR time series into independent sub-signals. The estimation of the optimal number of subsignals is based on principal component analysis together with an information theory selection criterion. The independent sub-signals are extracted by a blind source separation technique. We show on 8 subjects under various clinical conditions, that the sub-signals are related mainly to sympathetic and parasympathetic regulation mechanisms of the heart rate

Keywords

cardiovascular system; eigenvalues and eigenfunctions; electrocardiography; medical signal processing; principal component analysis; signal reconstruction; spectral analysis; time series; RR time series; blind source separation; cardiovascular system; decomposition into independent sub-signals; heart rate; independent component analysis; information theory selection criterion; optimal number of sub-signals; parasympathetic regulation mechanisms; power spectral density; principal component analysis; sub-signal extraction; surface ECG; sympathetic nerve activity; sympathetic regulation mechanisms; Arterial blood pressure; Biomedical signal processing; Blood pressure; Cardiology; Fluctuations; Hafnium; Heart rate; Independent component analysis; Protocols; Signal processing;

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.1998.745898

Filename

745898