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A simple and robust method for the automatic scoring of EEG arousals in polysomnographic recordings

机译:一种简单稳健的方法,可以在多酷科图录制中自动评分

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Background: Clinical diagnosis of sleep disorders relies on the polysomnographic test to examine the neurophysiological markers of the sleep process. In this test, the recording of the electroencephalographic activity and the submental electromyogram is the source of the analysis for the detection of electroencephalographic arousals. The identification of these events is important for the evaluation of the sleep continuity because they cause the fragmentation of the normal sleep process. This work proposes a new technique for the automatic detection of arousals in polysomnographic recordings, presenting a non-computationally complex method with the idea of providing an easy integration with other algorithms.
机译:背景:睡眠障碍的临床诊断依赖于多重摄像检验来检查睡眠过程的神经生理学标志。 在该试验中,脑电偶尔术和贱民电灰度的记录是检测脑电图唤醒的分析来源。 这些事件的识别对于评估睡眠连续性是重要的,因为它们导致正常睡眠过程的碎片。 这项工作提出了一种新技术,用于自动检测多面组中的唤醒记录,呈现出一种与其他算法轻松集成的想法的非计算复杂方法。

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