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

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.

关键词： Diffusion model signal component separating autonomic nervous function

作者: Jiang, Yifa Ye, HanXiao Zhou, Qing Liu, Shishao

作者单位: College of Information Technology, Zhejiang Chinese Medical University, 310053 Hangzhou China Department of Anatomy, School of Medicine, Zhejiang Chinese Medical University, 310053Hangzhou China

会议类型: 国际会议

会议名称: The 2nd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2008)(第二届生物信息与生物医学工程国际会议)

会议地点: 上海

会议语种:英文

页码: 1442-1445

在线出版日期: 2008-05-16（万方平台首次上网日期，不代表论文的发表时间）