Application of artificial intelligence in diagnosis and intervention in sleep disorder for older adults:a scoping re-view using ICF
10.3969/j.issn.1006-9771.2024.08.007
- VernacularTitle: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
- Author:
Changhao JIANG
1
;
Xianxin JIANG
;
Chen HUANG
;
Xiaoke ZHONG
Author Information
1. 首都体育学院运动脑成像研究中心,北京市 100089
- Keywords:
elderly;
sleep disorder;
artificial intelligence;
scoping review
- From:
Chinese Journal of Rehabilitation Theory and Practice
2024;30(8):922-929
- CountryChina
- Language:Chinese
-
Abstract:
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.
