人工智能应用于老年人睡眠障碍的诊断与干预:基于ICF的Scoping综述OA北大核心CSTPCD
Application of artificial intelligence in diagnosis and intervention in sleep disorder for older adults:a scoping re-view using ICF
目的 综述人工智能在老年人睡眠障碍识别、监测与干预中的应用及效果. 方法 检索建库至2024年6月PubMed、Web of Science、中国知网、万方数据库人工智能在老年人睡眠障碍领域应用的相关文献,并进行Scoping综述. 结果 共纳入10篇文献,来自7个国家,涉及36 344例老年参与者,发表时间集中于2020年至2024年,研究类型涉及横断面研究6篇、前瞻性研究1篇、自身前后对照研究1篇、随机对照试验2篇,主要来源于临床医学、睡眠、康复医学、信息工程学等领域.人工智能主要应用于监测老年人睡眠全过程,预测与识别睡眠障碍,基于移动平台进行生物反馈、线上咨询和认知行为治疗等干预. 结论 人工智能不仅可提高睡眠障碍的诊断准确性,还能为临床干预提供有力的数据支撑,基于大数据及智能算法的线上睡眠干预可以为老年人提供有效的健康管理.
Objective To review the application of artificial intelligence(AI)in the identification,monitoring and intervention of sleep disorders in the elderly and the effect. Methods A scoping review was conducted by searching relevant literature ahout the application of AI in the field of sleep disorders among the elderly from databases including PubMed,Web of Science,CNKI,and Wanfang data,covering literatures from the establishment to June,2024. Results A total of ten articles were included,originating from seven countries and involving 36 344 elderly participants.The publication dates ranged from 2020 to 2024.The study types included six cross-sectional studies,one pro-spective study,one self-controlled study and two randomized controlled trials.The articles mainly came from the fields of clinical medicine,sleep research,rehabilitation medicine and information engineering.AI was primarily used for monitoring the entire sleep process of the elderly,predicting and identifying sleep disorders,and inter-ventions such as biofeedback,online consultations and cognitive-behavioral therapy based on mobile platforms. Conclusion AI not only improves the accuracy of diagnosing sleep disorders,but also provides robust data support for clinical intervention.Online sleep interventions based on big data and intelligent algorithms can offer effective health management for the elderly.
蒋长好;蒋现新;黄辰;钟晓珂
首都体育学院运动脑成像研究中心,北京市 100089首都体育学院人工智能研究院,北京市 100191福建师范大学体育科学学院,福建福州市 350108
临床医学
老年人睡眠障碍人工智能Scoping综述
elderlysleep disorderartificial intelligencescoping review
《中国康复理论与实践》 2024 (008)
922-929 / 8
1.北京市社会科学基金项目(No.19YTA001);2.首都体育学院体育医学工程学新兴交叉学科平台研究项目(No.20230929);3.国家自然科学基金项目(No.32371132) Beijing Key Project of Philosophy and Social Sciences(No.19YTA001),Emerging Interdisciplinary Platform for Medicine and Engineering in Sports(No.20230929),and National Natural Science Foundation of China(No.32371132)
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