Automatic Sleep Stage Classification With Single Channel EEG Signal Based on Two-Layer Stacked Ensemble Model

Automatic Sleep Stage Classification With Single Channel EEG Signal Based on Two-Layer Stacked Ensemble Model

Sleep stage classification, including wakefulness (W), rapid eye movement (REM), and non- rapid eye movement (NREM) which includes three sleep stages that describe the depth of sleep, is one of the most critical steps in effective diagnosis and treatment of sleep-related disorders. Clinically, sleep...

Full description

Bibliographic Details
Main Authors: Jinjin Zhou, Guangsheng Wang, Junbiao Liu, Duanpo Wu, Weifeng Xu, Zimeng Wang, Jing Ye, Ming Xia, Ying Hu, Yuanyuan Tian
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Sleep stage classification
single channel EEG signal
two-layer stacked ensemble model
random forest
LightGBM
Online Access:https://ieeexplore.ieee.org/document/9044349/

Internet

https://ieeexplore.ieee.org/document/9044349/

Similar Items