Handbook of AI and Data Sciences for Sleep Disorders
Editor
- Richard B. Berry(UF Health Sleep Disorders Center)Panos M. Pardalos(University of Florida)Xiaochen Xian(Georgia Institute of Technology)
Abstract
No abstract is available for this item.Individual chapters are listed in the "Chapters" tab
Suggested Citation
- Richard B. Berry & Panos M. Pardalos & Xiaochen Xian (ed.), 2024. "Handbook of AI and Data Sciences for Sleep Disorders," Springer Optimization and Its Applications, Springer, number 978-3-031-68263-6, December.
Handle: RePEc:spr:spopap:978-3-031-68263-6
DOI: 10.1007/978-3-031-68263-6
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Book Chapters
The following chapters of this book are listed in IDEAS- Xin Zan & Feng Liu & Xiaochen Xian & Panos M. Pardalos, 2024. "Empowering Sleep Health: Unleashing the Potential of Artificial Intelligence and Data Science in Sleep Disorders," Springer Optimization and Its Applications, in: Richard B. Berry & Panos M. Pardalos & Xiaochen Xian (ed.), Handbook of AI and Data Sciences for Sleep Disorders, pages 1-44, Springer.
- Malak A. Almarshad & Saiful Islam & Sultan Bahammam & Saad Al-Ahmadi & Ahmed S. BaHammam, 2024. "Polysomnography Raw Data Extraction, Exploration, and Preprocessing," Springer Optimization and Its Applications, in: Richard B. Berry & Panos M. Pardalos & Xiaochen Xian (ed.), Handbook of AI and Data Sciences for Sleep Disorders, pages 45-65, Springer.
- Peter Anderer & Marco Ross & Andreas Cerny & Pedro Fonseca, 2024. "Sleep Stage Probabilities Derived from Neurological or Cardiorespiratory Signals by Means of Artificial Intelligence," Springer Optimization and Its Applications, in: Richard B. Berry & Panos M. Pardalos & Xiaochen Xian (ed.), Handbook of AI and Data Sciences for Sleep Disorders, pages 67-108, Springer.
- Pei-Lin Lee & Wenbo Gu & Wen-Chi Huang & Ambrose A. Chiang, 2024. "From Screening at Clinic to Diagnosis at Home: How AI/ML/DL Algorithms Are Transforming Sleep Apnea Detection," Springer Optimization and Its Applications, in: Richard B. Berry & Panos M. Pardalos & Xiaochen Xian (ed.), Handbook of AI and Data Sciences for Sleep Disorders, pages 109-160, Springer.
- Victoria Ribeiro Rodrigues & Szilard L. Beres & Paul W. Davenport & Nicholas J. Napoli, 2024. "Modeling and Analysis of Mechanical Work of Breathing," Springer Optimization and Its Applications, in: Richard B. Berry & Panos M. Pardalos & Xiaochen Xian (ed.), Handbook of AI and Data Sciences for Sleep Disorders, pages 161-181, Springer.
- Minhee Kim & Xin Zan & Xiaochen Xian, 2024. "A Probabilistic Perspective: Bayesian Neural Network for Sleep Apnea Detection," Springer Optimization and Its Applications, in: Richard B. Berry & Panos M. Pardalos & Xiaochen Xian (ed.), Handbook of AI and Data Sciences for Sleep Disorders, pages 183-196, Springer.
- Matteo Cesari & Irene Rechichi, 2024. "Automatic and Machine Learning Methods for Detection and Characterization of REM Sleep Behavior Disorder," Springer Optimization and Its Applications, in: Richard B. Berry & Panos M. Pardalos & Xiaochen Xian (ed.), Handbook of AI and Data Sciences for Sleep Disorders, pages 197-217, Springer.
- S. A. Bottari & R. Ferri & M. S. Jaffee & John B. Williamson, 2024. "Sleep Cyclic Alternating Pattern (CAP) as a Neurophysiological Marker of Brain Health," Springer Optimization and Its Applications, in: Richard B. Berry & Panos M. Pardalos & Xiaochen Xian (ed.), Handbook of AI and Data Sciences for Sleep Disorders, pages 219-232, Springer.
- Wesley Chorney & Haifeng Wang & Lir-Wan Fan, 2024. "Deep Learning with Electrocardiograms," Springer Optimization and Its Applications, in: Richard B. Berry & Panos M. Pardalos & Xiaochen Xian (ed.), Handbook of AI and Data Sciences for Sleep Disorders, pages 233-258, Springer.
- Jean-Benoit Martinot & Nhat-Nam Le-Dong & Jean-Louis Pépin, 2024. "Machine Learning Automated Analysis Applied to Mandibular Jaw Movements During Sleep: A Window on Polysomnography," Springer Optimization and Its Applications, in: Richard B. Berry & Panos M. Pardalos & Xiaochen Xian (ed.), Handbook of AI and Data Sciences for Sleep Disorders, pages 259-274, Springer.
- Brian Robertson & Alexander Semenov & Tyler Skluzacek & Han Coburn & Matthew Miller, 2024. "Nightmare Disorder: An Overview," Springer Optimization and Its Applications, in: Richard B. Berry & Panos M. Pardalos & Xiaochen Xian (ed.), Handbook of AI and Data Sciences for Sleep Disorders, pages 275-304, Springer.
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