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Fast Sleep Stage Classification Using Cascaded Support Vector Machines with Single-Channel EEG Signals
Long-term sleep stage monitoring is very important for the diagnosis and treatment of insomnia. With the development of wearable electroencephalogram (EEG) devices, we developed a fast and accurate sleep stage classification method in this study with single-channel EEG signals for practical applicat...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9784858/ https://www.ncbi.nlm.nih.gov/pubmed/36560286 http://dx.doi.org/10.3390/s22249914 |