人工智能在睡眠障碍方面的研究进展
Advances in Research on Artificial Intelligence in Sleep Disorders
DOI: 10.12677/acm.2025.152452, PDF,    科研立项经费支持
作者: 刘明月, 谢兆宏*:山东大学第二医院神经内科,山东 济南
关键词: 睡眠睡眠障碍人工智能Sleep Sleep Disorders Artificial Intelligence
摘要: 睡眠障碍是睡眠–觉醒过程中表现出来的各种功能障碍,其临床表现为入睡困难、睡眠维持障碍、早醒、睡眠行为异常等,严重影响个人身心健康及社会发展。在临床中睡眠障碍通常面临诊断不及时的可能,给睡眠障碍的早期干预造成了困难,因此提高诊断效率,帮助患者尽早诊治睡眠障碍尤为重要。随着人工智能的不断发展,其在睡眠障碍诊疗的应用显示出巨大潜力,但同时伴随着诸多问题。通过探讨人工智能在睡眠障碍诊断及治疗中带来变革性作用,有望为改善睡眠障碍患者的健康状况开辟新途径,推动睡眠医学领域的发展迈向新高度。
Abstract: Sleep disorders are various dysfunctions manifested during the sleep-wake process. Their clinical manifestations include difficulty falling asleep, sleep maintenance disorders, early awakening, abnormal sleep behaviors, etc., which seriously affect individuals’ physical and mental health as well as social development. In clinical practice, sleep disorders usually face the possibility of untimely diagnosis, which causes difficulties for the early intervention of sleep disorders. Therefore, it is particularly important to improve diagnostic efficiency and help patients diagnose and treat sleep disorders as early as possible. With the continuous development of artificial intelligence (AI), its application in the diagnosis and treatment of sleep disorders has shown great potential, but at the same time, it is accompanied by many problems. By exploring the transformative role of artificial intelligence in the diagnosis and treatment of sleep disorders, it is expected to open up new ways to improve the health status of patients with sleep disorders and promote the development of the field of sleep medicine to a new level.
文章引用:刘明月, 谢兆宏. 人工智能在睡眠障碍方面的研究进展[J]. 临床医学进展, 2025, 15(2): 1121-1127. https://doi.org/10.12677/acm.2025.152452

参考文献

[1] Stubbs, B., Vancampfort, D., Thompson, T., Veronese, N., Carvalho, A.F., Solmi, M., et al. (2018) Pain and Severe Sleep Disturbance in the General Population: Primary Data and Meta-Analysis from 240,820 People across 45 Low-and Middle-Income Countries. General Hospital Psychiatry, 53, 52-58. [Google Scholar] [CrossRef] [PubMed]
[2] Chattu, V.K., Manzar, M.D., Kumary, S., Burman, D., Spence, D.W. and Pandi-Perumal, S.R. (2018) The Global Problem of Insufficient Sleep and Its Serious Public Health Implications. Healthcare, 7, Article 1. [Google Scholar] [CrossRef] [PubMed]
[3] Lechat, B., Scott, H., Naik, G., Hansen, K., Nguyen, D.P., Vakulin, A., et al. (2021) New and Emerging Approaches to Better Define Sleep Disruption and Its Consequences. Frontiers in Neuroscience, 15, Article 751730. [Google Scholar] [CrossRef] [PubMed]
[4] 唐诗, 刘蕊, 秦宇, 等. 睡眠障碍与阿尔茨海默病的研究进展[J]. 中国神经免疫学和神经病学杂志, 2021, 28(6): 479-483.
[5] Goldstein, C.A., Berry, R.B., Kent, D.T., Kristo, D.A., Seixas, A.A., Redline, S., et al. (2020) Artificial Intelligence in Sleep Medicine: Background and Implications for Clinicians. Journal of Clinical Sleep Medicine, 16, 609-618. [Google Scholar] [CrossRef] [PubMed]
[6] Alattar, M., Govind, A. and Mainali, S. (2024) Artificial Intelligence Models for the Automation of Standard Diagnostics in Sleep Medicine—A Systematic Review. Bioengineering, 11, Article 206. [Google Scholar] [CrossRef] [PubMed]
[7] Duarte, M., Pereira-Rodrigues, P. and Ferreira-Santos, D. (2023) The Role of Novel Digital Clinical Tools in the Screening or Diagnosis of Obstructive Sleep Apnea: Systematic Review. Journal of Medical Internet Research, 25, e47735. [Google Scholar] [CrossRef] [PubMed]
[8] 韦思炜, 章俊航, 蔡明建, 等. 睡眠障碍全病程管理平台的建设与应用[J]. 中国卫生信息管理杂志, 2024, 21(5): 694-701.
[9] 张萍淑, 徐斌, 马倩, 等. 睡眠健康云平台智能监测分析系统的构建与评价[J]. 中国健康心理学杂志, 2022, 30(10): 1481-1488.
[10] Platon, A.L., Stelea, C.G., Boișteanu, O., Patrascanu, E., Zetu, I.N., Roșu, S.N., et al. (2023) An Update on Obstructive Sleep Apnea Syndrome—A Literature Review. Medicina, 59, Article 1459. [Google Scholar] [CrossRef] [PubMed]
[11] 李红岩, 段莹, 卢烨, 等. 智能手环的应用评价[J]. 世界睡眠医学杂志, 2014, 1(6): 341-344.
[12] Chen, Y., Wang, W., Guo, Y., Zhang, H., Chen, Y. and Xie, L. (2021) A Single-Center Validation of the Accuracy of a Photoplethysmography-Based Smartwatch for Screening Obstructive Sleep Apnea. Nature and Science of Sleep, 13, 1533-1544. [Google Scholar] [CrossRef] [PubMed]
[13] 黄蓉, 黄席珍, 肖毅. Auto-CPAP与传统CPAP治疗阻塞性睡眠呼吸暂停综合征的对比研究[J]. 中国医学科学院学报, 2001, 23(3): 290-293.
[14] 毛洪刚, 赵荣娟, 陈腊青, 等. 自动调节持续气道正压通气在重度阻塞性睡眠呼吸暂停低通气综合征治疗中的疗效观察[J]. 现代实用医学, 2010, 22(9): 1039-1040.
[15] McNicholas, W.T. and Korkalainen, H. (2023) Translation of Obstructive Sleep Apnea Pathophysiology and Phenotypes to Personalized Treatment: A Narrative Review. Frontiers in Neurology, 14, Article 1239016. [Google Scholar] [CrossRef] [PubMed]
[16] Chaidas, K. (2024) Editorial on the Special Issue “Obstructive Sleep Apnea (OSA)”. Life, 14, Article 669. [Google Scholar] [CrossRef] [PubMed]
[17] Mamom, J., Rungroungdouyboon, B., Daovisan, H. and Sri-Ngernyuang, C. (2023) Electronic Alert Signal for Early Detection of Tissue Injuries in Patients: An Innovative Pressure Sensor Mattress. Diagnostics, 13, Article 145. [Google Scholar] [CrossRef] [PubMed]
[18] 王炳坤, 张福军, 雷华, 等. 智能床垫[J]. 设计, 2023, 36(24): 3.