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An Attention-Guided Spatiotemporal Graph Convolutional Network for Sleep Stage Classification
Sleep staging has been widely used as an approach in sleep diagnoses at sleep clinics. Graph neural network (GNN)-based methods have been extensively applied for automatic sleep stage classifications with significant results. However, the existing GNN-based methods rely on a static adjacency matrix...
| 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/PMC9144567/ https://www.ncbi.nlm.nih.gov/pubmed/35629290 http://dx.doi.org/10.3390/life12050622 |