Bare-bones based honey badger algorithm of CNN for Sleep Apnea detection
Author:
Funder
Mohamed Bin Zayed University of Artificial Intelligence
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10586-024-04309-6.pdf
Reference68 articles.
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2. Padovano, D., Martinez-Rodrigo, A., Pastor, J.M., Rieta, J.J., Alcaraz, R.: On the generalization of sleep apnea detection methods based on heart rate variability and machine learning. IEEE Access 10, 92710–92725 (2022)
3. Macey, P.M.: Damage to the hippocampus in obstructive sleep apnea: a link no longer missing. Oxford University Press US (2019)
4. Pant, H., Dhanda, H.K., Taran, S.: Sleep apnea detection using electrocardiogram signal input to fawt and optimize ensemble classifier. Measurement 189, 110485 (2022)
5. Goldstein, N.A., Sculerati, N., Walsleben, J.A., Bhatia, N., Friedman, D.M., Rapoport, D.M.: Clinical diagnosis of pediatric obstructive sleep apnea validated by polysomnography. Otolaryngology-Head and Neck Surgery 111(5), 611–617 (1994)
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