Ssleepnet: a structured sleep network for sleep staging based on sleep apnea severity
Abstract Sleep stage classification is essential in evaluating sleep quality. Sleep disorders disrupt the periodicity of sleep stages, especially the common obstructive sleep apnea (OSA). Many methods only consider how to effectively extract features from physiological signals to classify sleep stag...
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| Autori principali: | , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Springer
2023-12-01
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| Serie: | Complex & Intelligent Systems |
| Soggetti: | |
| Accesso online: | https://doi.org/10.1007/s40747-023-01290-2 |
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