为住院的老年人提供基于心率的移动性和活动量表的初步可行性和开发
Vincent Weng-Jy Cheung1, Michaël Libotte1, Patrick Viet-Quoc Nguyen2
1Centre de recherche du Centre hospitalier de l'Université de Montréal, Université de Montréal, Montreal, Quebec, Canada.
概括
智能手表的心率数据可以量化住院老年人的移动性和活动,从而实现自动监控. 这项试点研究显示了实时健康洞察力的有希望的结果.
科学领域:
- 老年学是指老年学的学科.
- 生物医学工程 生物医学工程
- 数字健康数字健康
背景情况:
- 移动性对于医院中的老年人来说至关重要,但缺乏自动跟踪.
- 智能手表技术和机器学习为使用心率 (HR) 的客观移动性评估提供了潜力.
研究的目的:
- 开发和验证使用智能手表的人力资源数据的自动化移动和活动量表 (MAS).
- 评估MAS与已建立的流动性和健康措施的并发和歧视性有效性.
- 评估住院老年人智能手表使用的可接受性.
主要方法:
- 一项试点研究开发 (n=8) 和验证 (n=30) 在65岁以上的老年住院患者中的MAS.
- 一个随机森林模型使用12个智能手表衍生的HR功能预测了5个活动水平.
- 同时有效性与等级评估平衡和移动性 (HABAM) 和步行速度进行了检查;区分有效性与脆弱性和多病症.
主要成果:
- MAS与HABAM (r=0.43) 和功能状态 (r=-0.31) 有中等相关性,但与步行速度 (r=0.02) 没有相关性.
- 马斯得分与脆弱性或多病症性没有关联.
- 发现智能手表的使用在参与者中是可以接受的.
结论:
- 智能手表衍生的人力资源数据可以量化住院老年人的每小时流动性和活动.
- 这种方法有助于自动和实时监控患者的流动性.
- 开发的MAS显示了将其整合到常规老年护理中的潜力.
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