Combining a wireless radar sleep monitoring device with deep machine learning techniques to assess obstructive sleep apnea severity-Reference-Cited by-同舟云学术

Combining a wireless radar sleep monitoring device with deep machine learning techniques to assess obstructive sleep apnea severity

Published:2024-08 Issue:8 Volume:20 Page:1267-1277
ISSN:1550-9389
Container-title:Journal of Clinical Sleep Medicine
language:en
Short-container-title:Journal of Clinical Sleep Medicine

Author:

Lin Shang-Yang¹,Tsai Cheng-Yu²³,Majumdar Arnab²,Ho Yu-Hsuan⁴,Huang Yu-Wen⁴,Kao Chun-Kai⁵,Yeh Shang-Min⁴,Hsu Wen-Hua¹,Kuan Yi-Chun⁶⁷⁸⁹,Lee Kang-Yun³,Feng Po-Hao³,Tseng Chien-Hua³,Chen Kuan-Yuan³,Kang Jiunn-Horng¹⁰¹¹¹²,Lee Hsin-Chien¹³,Wu Cheng-Jung¹⁴,Liu Wen-Te¹³⁶¹⁰

Affiliation:

1. School of Respiratory Therapy, College of Medicine, Taipei Medical University, Taipei, Taiwan

2. Department of Civil and Environmental Engineering, Imperial College London, London, United Kingdom

3. Division of Pulmonary Medicine, Department of Internal Medicine, Taipei Medical University-Shuang Ho Hospital, New Taipei City, Taiwan

4. Advanced Technology Lab, Wistron Corporation, Taipei, Taiwan

5. Wireless Technology and Antenna Research and Development Department, Wistron Corporation, Taipei, Taiwan

6. Sleep Center, Taipei Medical University-Shuang Ho Hospital, New Taipei City, Taiwan

7. Department of Neurology, Taipei Medical University-Shuang Ho Hospital, New Taipei City, Taiwan

8. Department of Neurology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan

9. Taipei Neuroscience Institute, Taipei Medical University, Taipei, Taiwan

10. Research Center of Artificial Intelligence in Medicine, Taipei Medical University, Taipei, Taiwan

11. Department of Physical Medicine and Rehabilitation, Taipei Medical University Hospital, Taipei, Taiwan

12. Graduate Institute of Nanomedicine and Medical Engineering, College of Biomedical Engineering, Taipei Medical University, Taipei, Taiwan

13. Department of Psychiatry, Taipei Medical University Hospital, Taipei, Taiwan

14. Department of Otolaryngology, Taipei Medical University-Shuang Ho Hospital, New Taipei City, Taiwan

Publisher

American Academy of Sleep Medicine (AASM)

Reference41 articles.

1. Obstructive sleep apnea syndrome: a literature review;Maspero C;Minerva Stomatol.,2015

2. Estimation of the global prevalence and burden of obstructive sleep apnoea: a literature-based analysis

3. Associations among sleep-disordered breathing, arousal response, and risk of mild cognitive impairment in a northern Taiwan population

4. Obstructive sleep apnea, hypertension and cardiovascular diseases

5. Polysomnography

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1. A novel deep learning model for obstructive sleep apnea diagnosis: hybrid CNN-Transformer approach for radar-based detection of apnea-hypopnea events;SLEEP;2024-08-08

2. Non-contact and non-constraining monitoring of the respiratory rate including sleep disordered breathing using ultra-wideband radar;2024-07-09