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SeriesSleepNet: an EEG time series model with partial data augmentation for automatic sleep stage scoring
Introduction: We propose an automatic sleep stage scoring model, referred to as SeriesSleepNet, based on convolutional neural network (CNN) and bidirectional long short-term memory (bi-LSTM) with partial data augmentation. We used single-channel raw electroencephalography signals for automatic sleep...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10494443/ https://www.ncbi.nlm.nih.gov/pubmed/37700762 http://dx.doi.org/10.3389/fphys.2023.1188678 |