摘要
为了方便地监测睡眠情况,合理评价睡眠质量,设计了基于智能终端的睡眠监测系统。该系统主要包括信号采集模块和智能终端。信号采集模块与智能终端之间采用蓝牙通信,实现对脑电信号的采集、接收、分析及存储。智能终端采用小波变换对脑电信号去噪,提取样本熵作为特征参数,利用随机森林算法对睡眠进行自动分期,并评估睡眠质量。5名志愿者参与实验,结果表明,信号采集模块能够采集高质量的脑电信号,分析软件可以快速、准确地进行睡眠质量评估。该系统体积小,功耗低,可以对睡眠质量进行定量反映和客观评估。
In order to monitor sleep condition more conveniently and assess sleep quality, a sleep monitoring system based on intel-ligent terminal was designed in this paper. The system mainly consists of signal acquisition module and intelligent terminal. The signal acquisition module communicates with intelligent terminal by bluetooth, which realizes collection, receiving, analysis and stor-age of electroencephalogram(EEG) signals. The intelligent terminal uses wavelet transform to denoise EEG signals. The sample entropy is extracted as the feature parameter, and the random forest( RF) algorithm is used to do the automatic staging, so as to assess sleep quality. Five volunteers participated in the experiment. The results show that signal acquisition module can collect high quality EEG signals and the analysis software can evaluate sleep quality quickly and accurately. The system has the advantages of small volume and low power consumption. It can be used to quantitatively reflect and objectively evaluate the quality of sleep.
作者
赵德春
方程
刘蒙蒙
李舒粤
Zhao Dechun;Fang Cheng;Liu Mengmeng;Li Shuyue(School of Biological Information,Chongqing University of Posts and Telecommunications,Chongqing 400065,China;School of Automation,Chongqing University of Posts and Telecommunications,Chongqing 400065,China)
出处
《电子技术应用》
2018年第8期73-77,共5页
Application of Electronic Technique
基金
重庆市基础科学与前沿技术研究重点项目(cstc2017jcyj BX0007)
重庆市研究生科研创新项目(CYS17242)
关键词
睡眠脑电信号
智能终端
随机森林算法
睡眠质量评估
sleep EEG signal
intelligent terminal
random forest algorithm
sleep quality assessment