模型 | 作者 | 方法 | 基于公开数据集PhysioNet准确率 | 基于福建省某医院睡眠中心数据准确率 |
模型-3 | Fraiwan. et al.(2015) [33] | Based on time-frequency analysis of and random forest classifier | 79.23% | 70.45% |
模型-4 | Orestis Tsinalis, et al. (2016) [34] | Using Convolutional Neural Networks | 74.00% | 63.850% |
模型-B | Wang and Xu et al. | Based the multi-channels EEG and CNN | 80.05% | 81.93% |