Title :
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
fDate :
29 Oct-1 Nov 1998
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;
Conference_Titel :
Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE
Conference_Location :
Hong Kong
Print_ISBN :
0-7803-5164-9
DOI :
10.1109/IEMBS.1998.745898
