Ensemble learning algorithm based on multi-parameters for sleep staging.
The aim of this study is to propose a high-accuracy and high-efficiency sleep staging algorithm using single-channel electroencephalograms (EEGs). The process consists four parts: signal preprocessing, feature extraction, feature selection, and classification algorithms. In the preconditioning of EE...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 57; no. 8; pp. 1693 - 1708 |
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| Autores principales: | , , , |
| Formato: | equations & formulas research tables/charts tracings Journal Article |
| Publicado: |
Springer Nature
Aug2019
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| Acceso en línea: | Ver este registro en EBSCOhost |