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Updated: Jan 20, 2026

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从可穿戴设备的单通道EEG信号上进行集成式自动化睡眠分期的潜力

Federico Salfi1, Domenico Corigliano1,2, Giulia Amicucci1

  • 1Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy.

Journal of sleep research
|January 19, 2026
PubMed
概括

一组机器学习模型使用可穿戴EEG准确地分类睡眠阶段,与传统的多睡眠学有很高的一致性. 这证实了可穿戴设备用于大规模睡眠监测的有效性.

关键词:
这是一个ZMax头带.共同录制 共同录制机器学习就是机器学习.微结构分析是微结构分析.一个便携式的EEG电磁波.睡眠阶段化是什么

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