Single-channel EEG sleep stage classification based on a streamlined set of statistical features in wavelet domain.
The main objective of this study was to enhance the performance of sleep stage classification using single-channel electroencephalograms (EEGs), which are highly desirable for many emerging technologies, such as telemedicine and home care. The proposed method consists of decomposing EEGs by a discre...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 55; no. 2; pp. 343 - 353 |
|---|---|
| Autores principales: | , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Feb2017
|
| Acceso en línea: | Ver este registro en EBSCOhost |