An approach to arousal disorder classification using deformable convolution and adaptive multiscale features in EEG signals
Diagnosing sleep phases, arousal problems, and apnea episodes using Polysomnography (PSG) signals is often time-consuming. However, automated approaches have demonstrated promising results. Early detection of sleep disturbances can facilitate the diagnosis of neuropathologies before they progress. G...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-10-01
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| Series: | Brain Research Bulletin |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0361923025002801 |
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