Robust Method for Mid-Activity Tracking and Evaluation of Ankle Health Post-Injury.
Robust Method for Mid-Activity Tracking and Evaluation of Ankle Health Post-Injury.
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DOI：
10.1109/tbme.2020.3027477
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发表时间：
2021-04
期刊：
影响因子：
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通讯作者：
Inan OT
中科院分区：
文献类型：
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作者：
Mabrouk S;Whittingslow D;Inan OT
提出一种使用可穿戴设备评估行走过程中脚踝健康状况的可靠方法。我们开发了一种新颖的数据采集系统，该系统利用步行过程中脚踝内的变化来实时跟踪生物阻抗。新颖的分析比较了 5kHz 下的电抗范围和 100kHz 下的电抗范围；这消除了该技术之前对已知基线的依赖。为了帮助解释测量结果，我们基于对水肿液量变化、肌纤维撕裂和血流变化对关节生物阻抗影响的文献综述，开发了一个定量模拟模型。模拟结果预测，健康脚踝和受伤脚踝之间从 5kHz 到 100kHz 的电抗范围之比存在显着差异。这些结果在 15 名受试者中得到了验证——对 11 名健康脚踝和 7 名受伤脚踝进行了测量。受伤受试者在测量前 2-4 周曾发生踝关节外侧扭伤。该分析技术区分了健康人群和受伤人群 (p<<0.01)，并与之前验证的静态方案对水肿的敏感性具有相关性 (R=0.8)。该技术可以检测踝关节水肿和踝关节结构完整性的变化，从而可以在踝关节损伤的康复过程中为临床医生和患者提供有价值的反馈。这项技术可以就患者是否准备好返回活动和/或根据个人不断变化的需求定制康复活动做出更明智的决策。
To present a robust methodology for evaluating ankle health during ambulation using a wearable device. We developed a novel data capture system that leverages changes within the ankle during ambulation for real-time tracking of bioimpedance. The novel analysis compares the range of reactance at 5kHz to the range of reactance at 100kHz; which removes the technique’s previous reliance on a known baseline. To aid in interpretation of the measurements, we developed a quantitative simulation model based on a literature review of the effects on joint bioimpedance of variations in edematous fluid volume, muscle fiber tears, and blood flow changes. The results of the simulation predicted a significant difference in the ratio of the range of the reactance from 5kHz to 100 kHz between the healthy and injured ankles. These results were validated in 15 subjects - with 11 healthy ankles and 7 injured ankles measured. The injured subjects had lateral ankle sprains 2-4 weeks prior to the measurement. The analysis technique differentiated between the healthy and the injured population (p<<0.01), and a correlation (R=0.8) with a static protocol previously validated for its sensitivity to edema. The technology presented can detect variations in ankle edema and structural integrity of ankles, and thus could provide valuable feedback to clinicians and patients during the rehabilitation of an ankle injury. This technology could lead to better-informed decision making regarding a patient’s readiness to return to activity and / or tailoring rehabilitation activities to an individual’s changing needs.