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通过仪器L-测试 (iL-测试) 进行自动化多队列移动性评估.

Jose Albites-Sanabria, Pierpaolo Palumbo, Ilaria D'Ascanio

    IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
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    概括

    仪器式L测试 (iL测试) 使用可穿戴传感器自动评估移动性. 它准确地区分了各种条件下的移动模式,提供了更好的医疗保健洞察力.

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    科学领域:

    • 生物医学工程 生物医学工程
    • 康复科学 康复科学 康复科学
    • 临床生物力学 临床生物力学

    背景情况:

    • 传统的L测试主要通过完成时间来衡量流动性.
    • 需要对不同患者群体进行客观,详细的移动性评估.
    • 可穿戴惯性传感器为增强移动性评估提供了一个潜在的解决方案.

    研究的目的:

    • 使用可穿戴惯性传感器引入和验证仪器化L测试 (iL测试).
    • 分析iL测试中的动力学特征,以区分各种健康状况中的移动模式.
    • 探索不同队列中iL-测试衍生特征和临床状态之间的相关性.

    主要方法:

    • 使用可穿戴的惯性传感器放置在背部下部的iL测试的开发.
    • 使用立体摄影仪验证自动活动细分的验证.
    • 分析了113名参与者在7个队列 (健康,COPD,MS,CHF,PD,PFF,TFA) 的164个运动特征.
    • 应用随机森林分类和相关性分析来确定流动性模式和临床相关性.

    主要成果:

    • iL测试证明了技术有效性,准确地在所有队伍中细分活动.
    • 在健康个体和患有近腰骨折 (AUC=0.89) 和转腰骨截肢 (AUC=0.99) 的个体之间检测到移动模式的显著差异.
    • 在MS,CHF,PFF和TFA中观察到动力学特征和临床评分之间的强烈相关性,显示随着疾病进展的运动质量下降.
    • 来自90°和180°转的特征对于区分队伍至关重要.

    结论:

    • 该iL-测试提供自动化,客观的移动性评估在广泛的临床条件的范围.
    • 这项技术有可能增强移动性评估,并为临床决策提供信息.
    • 对转特定特征的进一步研究可以完善差异诊断能力.