Deep-learning based sleep apnea detection using sleep sound, SpO2, and pulse rate
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s41870-024-01906-x.pdf
Reference17 articles.
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2. Sainburg T, Thielk M, Gentner TQ (2020) Finding, visualizing, and quantifying latent structure across diverse animal vocal repertoires. PLoS Comput Biol 6(10)
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4. Mostafa SS, Mendonça F, Morgado-Dias F, Ravelo-García A (2017) SpO2 based sleep apnea detection using deep learning. In: IEEE International Conference on Intelligent Engineering Systems (INES)
5. Shang Y, Guo B, Zhao Z (2023) Sleep apnea detection based on snoring sound analysis using DS-MS neural network. J Phys Conf Ser 2637
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