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Real-time prediction of upcoming respiratory events via machine learning using snoring sound signal.
Wang B, Yi X, Gao J, Li Y, Xu W, Wu J, Han D. Wang B, et al. Among authors: gao j. J Clin Sleep Med. 2021 Sep 1;17(9):1777-1784. doi: 10.5664/jcsm.9292. J Clin Sleep Med. 2021. PMID: 33843580 Free PMC article.
The models, combined with sleep information, serve as a promising tool for an early warning system to forecast apneic events. CITATION: Wang B, Yi X, Gao J, et al. Real-time prediction of upcoming respiratory events via machine learning using snoring sound signal. …
The models, combined with sleep information, serve as a promising tool for an early warning system to forecast apneic events. CITATION: Wang …
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