基于扩散模型的信号分量分析及其在自主神经功能评价中的应用

2008 2nd International Conference on Bioinformatics and Biomedical Engineering Pub Date : 2008-05-16 DOI:10.1109/ICBBE.2008.689

Yifa Jiang, H. Ye, Qing Zhou, Shishao Liu

{"title":"基于扩散模型的信号分量分析及其在自主神经功能评价中的应用","authors":"Yifa Jiang, H. Ye, Qing Zhou, Shishao Liu","doi":"10.1109/ICBBE.2008.689","DOIUrl":null,"url":null,"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.","PeriodicalId":6399,"journal":{"name":"2008 2nd International Conference on Bioinformatics and Biomedical Engineering","volume":"26 1","pages":"1442-1445"},"PeriodicalIF":0.0000,"publicationDate":"2008-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Signal Component Analysis by Use of a Diffusion Model and its Application for Autonomic Nerve Function Evaluation\",\"authors\":\"Yifa Jiang, H. Ye, Qing Zhou, Shishao Liu\",\"doi\":\"10.1109/ICBBE.2008.689\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":6399,\"journal\":{\"name\":\"2008 2nd International Conference on Bioinformatics and Biomedical Engineering\",\"volume\":\"26 1\",\"pages\":\"1442-1445\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-05-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 2nd International Conference on Bioinformatics and Biomedical Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICBBE.2008.689\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 2nd International Conference on Bioinformatics and Biomedical Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICBBE.2008.689","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

摘要

提出了一种利用扩散模型分离信号分量的新方法。扩散过程在虚拟时间尺度内进行。分离的分量保证与扩散信号正交。我们将这种信号分量法应用于日常生活中人类自主神经功能的评估，即交感/副交感神经张力。结果表明，该方法是有效的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

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

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.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2008 2nd International Conference on Bioinformatics and Biomedical Engineering

自引率

0.00%

发文量