Nap EEG

64 channel continuously-sampled scalp EEG data from humans napping after completing a scene working memory task. These data are being used to develop objective and automated methods for sleep stage identification and for classifying spindles and k-complexes in stage 2 NREM sleep.

**Code is not maintained here since 08-2018, please visit https://github.com/nmningmei/Get_Sleep_data for updated version of the data and model**

64通道连续采集的人脑头皮脑电图（EEG）数据，数据来源于受试者在完成场景工作记忆任务后的小憩期间。这些数据被用于开发用于睡眠阶段识别的客观和自动化方法，以及用于对第二阶段非快速眼动（NREM）睡眠中的纺锤波和K复合波进行分类的方法。自2018年8月起，此处代码已不再维护，请访问https://github.com/nmningmei/Get_Sleep_data获取数据和模型的最新版本。