Signal component analysis by use of a diffusion model and its application for autonomic nerve function evaluation
2nd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2008（2008）
摘要
A novel signal component separating method by using a diffusion model has been developed. The diffusion process is conducted in a virtual time scale. Separated components are guaranteed to be orthogonal to the diffused signal. We apply this signal component method for humans' autonomic-nerve-function evaluation i.e. sympathetic/parasympathetic tension in daily life. The results show that this method is quit effective. © 2008 IEEE.
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关键词
autonomic nervous function,diffusion model,signal component separating,signal processing,information technology,harmonic analysis,diffusion,electroencephalography,nonlinear equations,information analysis,patient monitoring,signal analysis,anatomy,diffusion process,neurophysiology,independent component analysis
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