对人工智能驱动的可穿戴技术进行范围审查,用于帕金森病的康复和功能评估:一项协议
Shengting Li1,2, Siqi Chen1,2, Xiaosong Yu1,2
1School of Nursing, Zunyi Medical University, Zunyi, Guizhou, China.
BMJ open
|February 15, 2026
概括
人工智能 (AI) 和可穿戴设备为管理帕金森病 (PD) 康复提供了新的方法. 本综述综合了对人工智能驱动的可穿戴设备用于PD功能评估和康复的当前研究,并确定了知识差距.
科学领域:
- 神经科学是一个神经科学.
- 生物医学工程 生物医学工程
- 康复科学 康复科学 康复科学
背景情况:
- 帕金森病 (PD) 带来了重大的残疾和社会成本,传统康复面临资源和坚持限制.
- 与可穿戴技术集成的人工智能 (AI) 是一种有希望的方法,用于在PD康复中进行持续监测,客观评估和个性化反.
- 目前对人工智能驱动的PD可穿戴设备的研究往往受到小样本规模和短期研究设计的限制,需要进行全面的合成.
研究的目的:
- 进行范围审查,总结人工智能驱动的可穿戴技术在帕金森病 (PD) 康复和功能评估中的当前应用.
- 确定人工智能驱动的PD可穿戴康复领域的现有研究差距和局限性.
主要方法:
- 审查将遵循系统性审查的首选报告项目和扩展范围审查的元分析 (PRISMA-ScR) 准则.
- 将在10个主要数据库中采用全面的搜索策略,包括PubMed,科学网络,Scopus和IEEE Xplore.
- 2020年以后发布的符合条件的研究,重点是使用人工智能驱动的可穿戴设备进行康复或功能评估的PD患者,将被纳入并以叙事方式综合数据.
主要成果:
- 当审查完成并可获得结果后,该部分将被填写.
- 当审查完成并可获得结果后,该部分将被填写.
结论:
- 当审查完成并得出结论后,该部分将被填写.
- 当审查完成并得出结论后,该部分将被填写.
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