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Automatic Detection of Obstructive Sleep Apnea Events Using a Deep CNN-LSTM Model
Obstructive sleep apnea (OSA) is a common sleep-related respiratory disorder. Around the world, more and more people are suffering from OSA. Because of the limitation of monitor equipment, many people with OSA remain undetected. Therefore, we propose a sleep-monitoring model based on single-channel...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8009718/ https://www.ncbi.nlm.nih.gov/pubmed/33859679 http://dx.doi.org/10.1155/2021/5594733 |