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基于多分辨时频分析方法实现睡眠脑电图信号的自动分阶
引用本文:金涛,季忠,秦树人.基于多分辨时频分析方法实现睡眠脑电图信号的自动分阶[J].中国机械工程,2005,16(19):1747-1749.
作者姓名:金涛  季忠  秦树人
作者单位:重庆大学,重庆,400044
基金项目:重庆市科技攻关项目,重庆市自然科学基金
摘    要:详细介绍了睡眠分阶规则,并在分析比较多种时频分析方法的基础上,应用基于小波包变换和短时傅里叶变换的多分辨率时频分析方法来实现睡眠脑电图的自动分阶分析.在采用虚拟仪器技术研制的虚拟式脑电图记录分析仪上进行了实验,结果表明,上述方法可以获得较好的睡眠分阶分析结果.

关 键 词:睡眠脑电图  分阶分析  多分辨率时频分析  虚拟仪器
文章编号:1004-132X(2005)19-1747-03
收稿时间:2004-10-09
修稿时间:2004-10-09

Realization of Sleep Electroencephalogram Automatical Classification Based on Multi- resolution Time- frequency Analysis
Jin Tao,Ji Zhong,Qin Shuren.Realization of Sleep Electroencephalogram Automatical Classification Based on Multi- resolution Time- frequency Analysis[J].China Mechanical Engineering,2005,16(19):1747-1749.
Authors:Jin Tao  Ji Zhong  Qin Shuren
Affiliation:Chongqing University, Chongqing, 400044
Abstract:Analysis of sleep staging is very important work in knowing process of sleep electro-encephalon activity.The rule of sleep stage classification was introduced.And after comparing several kinds of classic methods of time-frequency analysis,multi-resolution time-frequency analysis based on wavelet packet transform and short-time Fourier transform was used to realize the analysis of sleep stage classification automatically.The experiments,done on virtual EEG instrument,show that good results of sleep stage classification can be obtained by this method.
Keywords:sleep electroencephalogram(sleep EEG)  analysis of sleep staging  multi-resolution time-frequency analysis  virtual instrument
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