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Comparative analysis of different characteristics of automatic sleep stages

机译:自动睡眠阶段不同特征的比较分析

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摘要

Background and objective: With the acceleration of social rhythm and the increase of pressure, there are various sleep problems among people. Sleep staging is an important basis for the diagnosis of sleep disorders and other related diseases. The process of automatic staging of sleep is mainly divided into three core steps: data preprocessing, feature extraction, and classification. Accurate analysis of the features of sleep electroencephalogram (EEG) signals is not only helpful to improve the accuracy of sleep staging, but also help people to understand their sleep status.
机译:背景和目标:随着社会节奏的加速和压力的增加,人们之间存在各种睡眠问题。 睡眠分期是诊断睡眠障碍和其他相关疾病的重要依据。 睡眠自动分期的过程主要分为三个核心步骤:数据预处理,功能提取和分类。 准确分析睡眠脑电图(EEG)信号的特征不仅有助于提高睡眠分段的准确性,还可以帮助人们了解他们的睡眠状态。

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