Cargando…
Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification
Correctly identifying sleep stages is important in diagnosing and treating sleep disorders. This paper proposes a joint classification-and-prediction framework based on convolutional neural networks (CNNs) for automatic sleep staging, and, subsequently, introduces a simple yet efficient CNN architec...
Formato: | Online Artículo Texto |
---|---|
Lenguaje: | English |
Publicado: |
IEEE
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6487915/ https://www.ncbi.nlm.nih.gov/pubmed/30346277 http://dx.doi.org/10.1109/TBME.2018.2872652 |
Ejemplares similares
-
An end-to-end framework for real-time automatic sleep stage classification
por: Patanaik, Amiya, et al.
Publicado: (2018) -
Automatic Stones Classification through a CNN-Based Approach
por: Tropea, Mauro, et al.
Publicado: (2022) -
Fast Convolutional Method for Automatic Sleep Stage Classification
por: Yulita, Intan Nurma, et al.
Publicado: (2018) -
Automatic Modulation Classification Based on CNN-Transformer Graph Neural Network
por: Wang, Dong, et al.
Publicado: (2023) -
Intelligent automatic sleep staging model based on CNN and LSTM
por: Zhuang, Lan, et al.
Publicado: (2022)