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基于BP网络的睡眠分阶方法及睡眠质量评估研究
引用本文:刘建平,郑崇勋. 基于BP网络的睡眠分阶方法及睡眠质量评估研究[J]. 生物医学工程学杂志, 2005, 22(6): 1124-1127
作者姓名:刘建平  郑崇勋
作者单位:西安交通大学,生物医学工程研究所,西安,710049
基金项目:国家博士后科学基金资助项目(2003033515)
摘    要:
我们利用不同睡眠期脑电复杂性特征与睡眠深度的关系及多道睡眠图功率谱特征,基于3层BP网络进行了睡眠自动分阶的研究,并提出了能部分反映睡眠质量的睡眠时间、浅睡时间、深睡时间、REM时间、觉睡比、醒转次数等参数。通过6例全睡眠监护实验说明,该方法可为睡眠质量的评价提供途径。

关 键 词:睡眠脑电图  复杂度  多导睡眠图  睡眠质量
收稿时间:2003-05-23
修稿时间:2003-05-232003-11-10

Auto Sleep Staging and Sleep Quality Estimation Based on BP Neural Network
Liu Jianping,Zheng Chongxun. Auto Sleep Staging and Sleep Quality Estimation Based on BP Neural Network[J]. Journal of biomedical engineering, 2005, 22(6): 1124-1127
Authors:Liu Jianping  Zheng Chongxun
Affiliation:Biomedical Engineering Institute of Xi'an Jiaotong University, Xi'an 710049, China.
Abstract:
To estimate the sleep quality,a 3-layer BP neural network was studied.The EEG complexity and the power spectrum of sleep-multigraph served as the input vector of the network.All-night sleep-stage scoring was performed.Then several parameters(sleep period,shallow sleep period,deep sleep period,REM period,ratio of the wakeful period and sleep one) were defined to estimate the sleep quality.The experiments revealed that the estimated sleep condition was the same as the subjects' impression.The data on six cases of all-night sleep show that this method is available to estimate the sleep quality.
Keywords:Sleep electroencephalograph Complexity Sleep-multigraph Sleep quality
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