Publications by authors named "Lurui Wang"
Multimodal sleep staging network based on obstructive sleep apnea.
Front Comput Neurosci
December 2024
Article Synopsis
- Automatic sleep staging is important for diagnosing sleep disorders, but existing methods mainly focus on healthy populations, neglecting conditions like Obstructive Sleep Apnea (OSA).
- The study introduces a new deep learning model called MSDC-SSNet, which utilizes electroencephalogram (EEG) and electrooculogram (EOG) signals to improve classification through advanced techniques like Transformer encoders and Multi-Scale Feature Extraction Modules.
- The model demonstrated an 80.4% accuracy on OSA data and outperformed other leading methods, enhancing its practicality for diverse sleep populations.
Respiratory sounds have been used as a noninvasive and convenient method to estimate respiratory flow and tidal volume. However, current methods need calibration, making them difficult to use in a home environment. A respiratory sound analysis method is proposed to estimate tidal volume levels during sleep qualitatively.
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