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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...
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| Publicado no: | Comput Intell Neurosci |
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| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Hindawi
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8009718/ https://ncbi.nlm.nih.gov/pubmed/33859679 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2021/5594733 |
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