自动睡眠分析——2。睡眠阶段的测定]。

T Schlegel, B Kurella, A Heitmann, K Meister, M Brzozowski
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引用次数: 0

摘要

本文提出的自动睡眠分析是基于自动检测到的脑电图(δ、β和α波段)、肌电图和运动的平均振幅和特定模式(纺锤波、rem、大于40微伏的δ波)的时间过程。通过交互确定阈值水平,考虑了参数的个体间可变性。根据Rechtschaffen和Kales的手册,使用与上下文无关的决策规则对每个epoch的睡眠阶段进行分类。所得到的环图使用上下文敏感规则进行平滑和校正,该规则考虑了连续的时代和阶段转换的概率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[Automatic sleep analysis--II. Determination of sleep stages].

The presented automatic sleep analysis is based on the time courses of the mean amplitudes of EEG (delta, beta and alpha bands), EMG and motility and specific patterns (spindles, REMs, delta waves greater than 40 microV) detected automatically. The interindividual variability of the parameters is taken into consideration by interactively determining the threshold levels. Sleep stages are classified for every epoch using context free decision rules according to the manual of Rechtschaffen and Kales. The resulting cyclograms are smoothed and corrected using context sensitive rules which considers the successive epochs and the probability of stage transitions.

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