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便携式睡眠脑电监测系统的研制 被引量:2

Development and Design of Portable Sleep Electroencephalogram Monitoring System
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摘要 越来越多的人受到睡眠质量欠佳的困扰,因此搭建一套简便、有效的睡眠脑电监测系统是十分必要的。它能够记录整晚睡眠脑电信息,进行自动睡眠分期,并且得到睡眠质量评分。系统采用单导联(三个电极)的简便方式进行采集,电极安放在前额叶,以防睡眠时脱落。分别采用了盘状电极和一次性心电图电极来采集睡眠脑电,以便为电极选择提供参考。振幅整合脑电图算法和样本熵算法被用于睡眠脑电处理中,结果显示两套算法都能进行自动睡眠分期与评价。本系统能够用于整晚睡眠监测和定量评价。 The growing rate of public health problem for increasing number of people afflicted with poor sleep quality suggests the importance of developing portable sleep electroencephalogram(EEG)monitoring systems.The system could record the overnight EEG signal,classify sleep stages automatically,and grade the sleep quality.We in our laboratory collected the signals in an easy way using a single channel with three electrodes which were placed in frontal position in case of the electrode drop-off during sleep.For a test,either silver disc electrodes or disposable medical electrocardiographic electrodes were used.Sleep EEG recorded by the two types of electrodes was compared to each other so as to find out which type was more suitable.Two algorithms were used for sleep EEG processing,i.e.amplitude-integrated EEG(aEEG)algorithm and sample entropy algorithm.Results showed that both algorithms could perform sleep stage classification and quality evaluation automatically.The present designed system could be used to monitor overnight sleep and provide quantitative evaluation.
出处 《生物医学工程学杂志》 EI CAS CSCD 北大核心 2015年第3期548-552,557,共6页 Journal of Biomedical Engineering
基金 康复工程与健康科技深港联合创新平台基金项目资助(ZYB200907070060A)
关键词 睡眠脑电 采集系统 电极 睡眠分期算法 sleep electroencephalogram acquisition system electrode sleep staging algorithm
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