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Remote Limb Movement Analysis During Sleep by Means of Bioradar

机译:通过Bioradar睡眠期间远程肢体运动分析

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Lack of effective non-contact ways for long-term sleep movements disorders detection, which may indicate the presence of different health and life-threatening conditions, is an up-to-date problem of modern sleep medicine. This paper presents a method for remote long-term sleep movements monitoring based on the analysis of a bioradar signal. The method was validated utilizing data of four volunteers, which underwent a sleep study in a sleep laboratory of Almazov National Medical Research Centre. The proposed method is based on the usage of a long short-term memory network to detect leg movements during sleep. We achieved accuracy and Cohen's kappa of 0.99 and 0.98 for leg movements during sleep classification, respectively. The results might be used while creating new methods for remote detection of sleep movement disorders.
机译:长期睡眠运动障碍缺乏有效的非接触方式检测,这可能表明存在不同的健康和危及生命的条件,是现代睡眠医学的最新问题。本文介绍了一种基于对双路信号分析的远程长期睡眠运动监控方法。该方法利用四个志愿者的数据验证,该数据在Almazov国家医学研究中心的睡眠实验室进行了睡眠研究。所提出的方法基于长期内记忆网络的使用来检测睡眠期间的腿部运动。在睡眠分类期间,我们将在睡眠分类期间实现精确度和Cohen的Kappa 0.99和0.98。在创建新方法的远程检测睡眠运动障碍的新方法时,可能使用了结果。

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