matlab肌电信号处理代码-RBD-Sleep-Detection:初次提交

上传者: 38612648 | 上传时间: 2022-10-04 08:40:43 | 文件大小: 92.22MB | 文件类型: ZIP
matlab肌电信号处理代码 睡眠分期和RBD检测 纸上使用的代码:通过自动多导睡眠图分析检测REM睡眠行为障碍() 使用此代码时,请引用[1]: Navin Cooray,Fernando Andreotti,Christine Lo,Mkael Symmonds,Michele TM Hu和Maarten De Vos(评论中)。 通过自动多导睡眠图分析检测REM睡眠行为障碍。 临床神经生理学。 该存储库包含用于在30秒内从单个EEG,EOG和EMG信号中提取156个特征的工具。 提供了一个随机森林分类器来实现自动睡眠分期,该分类器使用了53个与年龄匹配的健康对照和RBD参与者(但只有50棵树,而使用了500棵树)进行了训练。 还可以使用此存储库训练分类器。 分类器应输出以下睡眠阶段之一: 班级 描述 0 唤醒 1个 N1 2个 氮2 3 N3 5 快速眼动 提供了附加的特征提取工具来分析单个EMG通道以进行RBD检测。 特征是针对每个主题派生的,包括已建立的RBD指标以及其他指标。 这些功能可以使用手动注释或自动分类的睡眠阶段来推导。 提供了一个额外的随机森林分类器,以使用RBD

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