Signal Component Analysis by Use of a Diffusion Model and its Application for Autonomic Nerve Function Evaluation

Author

Yifa Jiang ; HanXiao Ye ; Qing Zhou ; Shishao Liu

Author_Institution

Coll. of Inf. Technol., Zhejiang Chinese Med. Univ., Hangzhou

fYear

2008

Firstpage

1442

Lastpage

1445

Abstract

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.

Keywords

bioelectric phenomena; diffusion; medical signal processing; neurophysiology; patient diagnosis; patient monitoring; patient treatment; autonomic nerve function evaluation; diffused signal; diffusion model; parasympathetic tension; signal component analysis; signal component separating method; virtual time scale; Anatomy; Educational institutions; Electroencephalography; Harmonic analysis; Independent component analysis; Information analysis; Information technology; Nonlinear equations; Signal analysis; Signal processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioinformatics and Biomedical Engineering, 2008. ICBBE 2008. The 2nd International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-1747-6

Electronic_ISBN

978-1-4244-1748-3

Type

conf

DOI

10.1109/ICBBE.2008.689

Filename

4535569