在高动态运动运动中使用惯性测量单位开发和验证用于足接触检测的算法
Stefano Di Paolo1, Margherita Mendicino1, José Miguel Palha de Araújo Dos Santos2
12nd Orthopaedic and Traumatological Clinic, IRCCS Rizzoli Orthopaedic Institute, 40136 Bologna, Italy.
Sensors (Basel, Switzerland)
|February 13, 2026
概括
使用惯性测量单位 (IMU) 的新算法准确地检测运动运动期间的脚接触. 这种便携式系统为生物力学分析的强力平台提供了可行的替代方案.
科学领域:
- 生物力学 生物力学
- 运动科学 运动科学 运动科学
- 可穿戴技术可穿戴技术
背景情况:
- 精确的足接触检测 (FCD) 对于分析运动表现,预防伤害和指导康复至关重要.
- 传统的FCD方法通常依赖于力量平台,这对于现实世界的体育环境并不总是实用.
- 惯性测量单元 (IMU) 为运动捕捉提供了便携式解决方案,但它们对于精确的FCD的有效性需要验证.
研究的目的:
- 开发和验证基于IMU的算法,用于在动态运动运动过程中检测初始接触 (IC) 和脚脱落 (TO).
- 为了比较基于骨盆垂直速度 (PVV) 和结果脚加速 (RFA) 的算法的性能.
- 评估PVV和RFA算法的联合有效性,以提高FCD精度.
主要方法:
- 34名运动员执行了改变方向和冲刺减速任务.
- 数据采集使用全身IMU服 (60Hz) 和力量平台 (1000Hz) 作为黄金标准.
- 两个IMU算法 (PVV和RFA) 单独和组合测试IC和TO检测.
主要成果:
- 与PVV算法 (16.7 ms偏移) 相比,RFA算法在初始接触 (IC) 检测 (10.2 ms偏移) 中表现出更好的准确性.
- 对于脚 (TO) 检测,RFA算法显著优于PVV (20.4 ms与102.8 ms偏移相比).
- 结合PV和RFA算法,可以显著提高IC (5.6毫秒偏移) 和TO (20.4毫秒偏移) 的准确性,速度或性别等辅助因素的影响最小.
结论:
- 使用PVV和RFA的基于IMU的组合算法为体育运动中准确的脚接触检测提供了强大的和便携式的方法.
- 这种IMU方法为强制平台提供了切实可行的替代方案,提高了生物力学评估在现实环境中的生态有效性.
- 经过验证的算法支持精确的FCD,用于改进体育表现分析,伤害预防策略和康复监测.
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