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Micro SleepNet: efficient deep learning model for mobile terminal real-time sleep staging
The real-time sleep staging algorithm that can perform inference on mobile devices without burden is a prerequisite for closed-loop sleep modulation. However, current deep learning sleep staging models have poor real-time efficiency and redundant parameters. We propose a lightweight and high-perform...
| 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/PMC10416229/ https://www.ncbi.nlm.nih.gov/pubmed/37575302 http://dx.doi.org/10.3389/fnins.2023.1218072 |