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基于传感器的脆弱性评估使用Fitbit

Mohammad Hosseinalizadeh1,2, Mehran Asghari2, Nima Toosizadeh2,3,4

  • 1Department of Biomedical Engineering, School of Graduate Studies, Rutgers University, Newark, NJ 07107, USA.

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PubMed
概括
此摘要是机器生成的。

通过运动功能测试,Fitbit可靠地评估脆弱性. 虽然它在休息和恢复期间提供了公平的心率 (HR) 数据,但其在活动期间对快速HR变化的准确性有限.

关键词:
适合Fitbit智能手表的智能手表脆弱性评估的脆弱性评估监测心率 (HR) 监控心率 (HR) 监控心率 (HR) 监控心率 (HR) 监控心率 (HR) 监控心率 (HR)发动机的性能 发动机的性能可穿戴式传感器传感器

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科学领域:

  • 生物医学工程 生物医学工程
  • 老年学是一门学科.
  • 可穿戴技术可穿戴技术

背景情况:

  • 脆弱性评估对于老年人护理至关重要.
  • 可穿戴设备为远程健康监测提供了潜力.
  • 验证像Fitbit这样的消费者可穿戴设备的临床用途至关重要.

研究的目的:

  • 为了评估Fitbit在评估脆弱性的可靠性.
  • 将Fitbit的运动和心率 (HR) 测量与黄金标准进行比较.
  • 通过上肢功能 (UEF) 测试来确定Fitbit适用于脆弱性检测的适用性.

主要方法:

  • 42名年轻成年人进行了UEF测试 (快速肘部曲).
  • 适应器和运动传感器测量了运动参数 (速度,灵活性,软弱,疲劳).
  • 电脑心电图和Fitbit测量休息,任务和恢复期间的HR.

主要成果:

  • 对于大多数运动参数 (ICC > 0.87),Fitbit和运动传感器之间有很好的一致性.
  • 对于人力资源增加和恢复的弱协议 (ICC = 0.24).
  • 在基线,任务和任务后 (ICC = 0.81) 期间对平均HR的中度至强度一致.

结论:

  • 通过运动参数来评估脆弱性,Fitbit是可靠的.
  • 在休息和恢复期间,Fitbit提供了可接受的HR估计.
  • 在跟踪快速的人力资源变化方面,Fitbit的局限性阻碍了其用于动态活动监控.