对可穿戴设备远程健康监测进行系统审查
Rita Ribeiro1, Rafael Martins1, Hugo Pereira1
1GECAD - Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development, ISEP, Polytechnic of Porto, Porto, Portugal.
Digital health
|March 5, 2026
概括
可穿戴技术显示出远程健康监测的前景,但先进的AI集成是有限的. 未来的研究应该专注于机器学习和整体患者福祉,以改善护理.
科学领域:
- 数字健康数字健康
- 生物医学工程 生物医学工程
- 医疗信息学 医疗信息学
背景情况:
- 可穿戴技术越来越多地用于远程健康监测.
- 提高患者护理效率和技术整合是研究的关键领域.
研究的目的:
- 系统地审查用于远程健康监测的可穿戴技术的应用.
- 评估它们在改善患者护理方面的有效性以及技术整合的现状.
主要方法:
- 按照PRISMA指南进行系统审查.
- 搜索2020年至2025年间发表的研究.
- 关于研究设计,可穿戴类型,反和分析的数据提取.
主要成果:
- 主要使用传统的统计方法,AI集成有限.
- 个性化的反机制对于患者的参与和坚持至关重要.
- 与身体健康相比,在监测认知/心理健康方面存在研究差距.
结论:
- 需要更严格的方法,包括临床试验,以加强证据.
- 优先考虑机器学习集成,以提高预测能力.
- 采用整体方法来全面理解和未来的研究方向.
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