The "Wear and Measure" Approach: Linking Joint Stability Measurements from a Smart Clothing System to Optical Tracking
The "Wear and Measure" Approach: Linking Joint Stability Measurements from a Smart Clothing System to Optical Tracking
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“佩戴和测量”方法：将智能服装系统的关节稳定性测量与光学跟踪联系起来
DOI：
10.1155/2015/762869
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发表时间：
2015
影响因子：
1.9
通讯作者：
Bergmann J
中科院分区：
文献类型：
--
作者：
Bergmann J
关节稳定性对于维持正常的日常功能至关重要。然而，稳定性的评估通常仍然依赖于主观或强制的方法。一个不引人注目的方法是让我们的衣服评估我们的关节稳定性。一个新的应用程序，包括一个可连接的服装传感系统（ACSS），由一个灵活的炭黑和聚氨酯复合膜，构成了一个光学跟踪系统进行了测试，以评估是否放置在膝盖上的ACSS可以提供与光学跟踪结果相关的稳定性结果。稳定性受到挑战，减少基地的支持，并通过消除视觉产生不同的实验条件。Bland和Altman图显示了各稳定性条件下测量系统之间的一般比例误差。然而，在所有条件下，发现位移值和ACSS之间的斯皮尔曼相关系数为0.81（p< 0.001），表明稳定性测量值之间存在良好关联。肌电图（EMG）也表明，关节稳定性之间的不同条件的挑战。ACSS被用户体验为舒适和难以分解。结论。这项研究表明，智能服装可以以不显眼的方式测量重要的生理参数。这种“磨损和测量”的方法可能会改变我们未来收集相关临床数据的方式。
Joint stability is essential for maintaining normal everyday function. However, assessment of stability often still relies on subjective or obtrusive methods. An unobtrusive approach would be to have our clothes assess our joint stability.Methods. A new application consisting of an attachable clothing sensing system (ACSS), constructed from a flexible carbon black and polyurethane composite film, was tested against an optical tracking system to assess if the ACSS placed across the knee could provide stability results that correlate with the optical tracking outcomes. Stability was challenged by reducing the base of support and by removing vision generating different experimental conditions.Results. Bland and Altman plots indicated a general proportional error between the measurement systems within each stability condition. However, across all conditions a Spearman correlation coefficient of 0.81 (p< 0.001) was found between the displacement values and ACSS, showing a good association between stability measurements. Electromyography (EMG) also indicated that joint stability was challenged between the different conditions. The ACSS was experienced by users as comfortable and hardly noticeable.Conclusions. This study indicates that smart clothing can measure important physiological parameters in an unobtrusive manner. This “wear and measure” approach might change how we gather relevant clinical data in the future.
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DOI：
--
发表时间：
2006
期刊：
1st Transdisciplinary Conference on Distributed Diagnosis and Home Healthcare, 2006. D2H2.
影响因子：
--
作者：
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影响因子：
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影响因子：
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作者：
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影响因子：
3.2
作者：
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通讯作者：
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影响因子：
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作者：
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