用智能手机记录的步态变化,碎形动力学和跑步机和地面行走的统计规律性
Vincenzo E Di Bacco1, William H Gage1
1School of Kinesiology and Health Science, York University, Toronto, Ontario, Canada.
Gait & posture
|April 18, 2024
概括
智能手机步行分析显示,地面行走 (OW) 和跑步机行走 (TW) 之间存在显著差异. 这项技术可以区分步行条件,为现实世界步行监测提供低成本工具.
科学领域:
- 生物力学 生物力学
- 人类的机动运动.
- 可穿戴技术是可穿戴的技术.
背景情况:
- 非线性步行变化是一种健康指标,反映了步行适应能力.
- 与地面行走 (OW) 相比,跑步机行走 (TW) 可能会误解步态模式.
- 智能手机提供了一种低成本的方法,用于在各种设置中进行步态分析,但使用智能手机的TW和OW之间的差异尚未研究.
研究的目的:
- 使用智能手机加速度计,比较跑步机行走 (TW) 和地面行走 (OW) 之间的时间步态变化和动态.
- 为了研究健康成年人的基于智能手机的步态模式差异.
主要方法:
- 16名健康成年人完成了8分钟的地面行走 (OW) 和跑步机行走 (TW) 试验,以首选的速度行走.
- 智能手机加速度计记录了垂直信号,以计算跨步间隔.
- 步行变化度量包括步行时间标准偏差 (SD),变化系数 (COV),碎形缩放指数和样本.
主要成果:
- 与跑步机行走 (TW) 相比,地面行走 (OW) 显示出明显更大的步伐时间SD,COV,碎形缩放指数和样本 (p < 0.01).
- 对于任何步态测量,在实验室访问之间没有观察到任何显著差异.
结论:
- 智能手机步态评估可以区分地面行走 (OW) 和跑步机行走 (TW) 条件.
- 智能手机作为一个具有成本效益的,用户友好的工具,用于实验室外的步态分析,增强生态有效性.
- 这项技术有可能在各种人群中进行自由生活的步态监测.
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