使用自由生活的心率数据作为评估身体活动的客观方法:INTERLIVE网络针对消费者可穿戴设备的范围审查和建议
Moritz Schumann1,2, Joshua F Feuerbacher3,4, Lars Heinrich3,4
1Department of Molecular and Cellular Sports Medicine, German Sport University, Cologne, Germany. moritz.schumann@hsw.tu-chemnitz.de.
Sports medicine (Auckland, N.Z.)
|February 2, 2025
概括
这项研究提供了分析可穿戴心率 (HR) 数据以了解身体活动的关键建议. 它提供了一个决策树和实际例子,用于在自由生活条件下处理人力资源指标.
科学领域:
- 运动科学 运动科学 运动科学
- 生物医学工程 生物医学工程
- 数字健康数字健康
背景情况:
- 可穿戴技术可以持续监测心率 (HR),以评估身体活动.
- 缺乏用于分析可穿戴设备上的自由生活的人力资源数据的标准化协议,这阻碍了准确的体育活动概况.
- INTERLIVE®网络旨在为消费者可穿戴数据制定最佳实践建议.
研究的目的:
- 开发最佳实践协议,从持续的HR记录中得出个人体育活动概况.
- 解决使用可穿戴设备的自由生活的人力资源数据的普遍建议的差距.
- 综合当前的知识,并为人力资源数据分析提供可操作的指导.
主要方法:
- 根据PRISMA-ScR指南进行了范围审查.
- 对制造商材料和用户手册进行了灰色文献搜索.
- 在INTERLIVE®网络成员之间以证据为基础的讨论为推提供了信息.
主要成果:
- 该审查涵盖了以下关键领域:最大HR评估 (72篇论文),基底/休息HR确定 (2篇论文) 和HR衍生强度区域 (11篇论文).
- 开发了一个决策树和分析自由生活的人力资源数据的详细建议.
- 提供了HR-metric计算的示例,以说明数据处理和报告.
结论:
- 标准化协议对于使用可穿戴HR数据进行准确的体育活动评估至关重要.
- 开发的建议和决策树提供了一个框架,用于导出个体体育活动概况.
- 这项工作支持通过改进可穿戴数据的利用来推进智能健康和福祉.
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