通过无线可穿戴传感器的人体运动成分和包络表征。

BMC biomedical engineering Pub Date : 2020-02-27 eCollection Date: 2020-01-01 DOI:10.1186/s42490-020-0038-4
Kaitlyn R Ammann, Touhid Ahamed, Alice L Sweedo, Roozbeh Ghaffari, Yonatan E Weiner, Rebecca C Slepian, Hongki Jo, Marvin J Slepian
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引用次数: 5

摘要

背景:肢体生物力学的表征对分析和管理衰老、运动和疾病中的运动具有广泛的意义。动作捕捉摄像和身体可穿戴传感器是表征身体线性和角度运动的强大工具,尽管通常很麻烦,检测有限,而且很大程度上不便携。在这里,我们研究了利用一种先进的可穿戴传感器的可行性,该传感器由可拉伸电子元件制成,用于表征人类手臂的线性和角度运动,以获得临床反馈。将嵌入加速度计和陀螺仪的可穿戴皮肤贴片(BioStampRC, MC10 Inc.)应用于健康志愿者前臂掌面。在三种不同的运动状态下,手臂伸展/屈曲:1)水平内收/外展2)屈曲/外展3)垂直外展。数据流和记录显示在三个不同的轴上运动的信号“模式”。额外的信号处理和滤波提供了在身体的每个平面上可视化这些运动的能力;以及手臂的三维运动包络。结果:所研究的三种运动机制中的每一种都有独特的模式-具有可识别的定性和定量差异。这三种运动机制的整合允许构建一个“运动包络”,定义和量化上肢的运动(范围和形状-包括运动极限的外周长-即包络)。线性和旋转运动的结果从多个手臂运动匹配测量与摄像和台式测角仪。结论:一种保形的、可拉伸的电子运动传感器可以有效地捕捉多个自由度的肢体运动,从而产生特征签名,这些特征签名可以很容易地记录、存储和分析。可穿戴的适形皮肤贴附传感器贴片允许对身体,移动,个性化的运动和灵活性参数的确定。这些传感器允许在移动时进行运动评估,无需固定的实验室环境,可在现场、家庭或医院使用。这些传感器和分析模式有望提供健康和疾病的数字“运动生物标志物”。
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Human motion component and envelope characterization via wireless wearable sensors.

Background: The characterization of limb biomechanics has broad implications for analyzing and managing motion in aging, sports, and disease. Motion capture videography and on-body wearable sensors are powerful tools for characterizing linear and angular motions of the body, though are often cumbersome, limited in detection, and largely non-portable. Here we examine the feasibility of utilizing an advanced wearable sensor, fabricated with stretchable electronics, to characterize linear and angular movements of the human arm for clinical feedback. A wearable skin-adhesive patch with embedded accelerometer and gyroscope (BioStampRC, MC10 Inc.) was applied to the volar surface of the forearm of healthy volunteers. Arms were extended/flexed for the range of motion of three different regimes: 1) horizontal adduction/abduction 2) flexion/extension 3) vertical abduction. Data were streamed and recorded revealing the signal "pattern" of movement in three separate axes. Additional signal processing and filtering afforded the ability to visualize these motions in each plane of the body; and the 3-dimensional motion envelope of the arm.

Results: Each of the three motion regimes studied had a distinct pattern - with identifiable qualitative and quantitative differences. Integration of all three movement regimes allowed construction of a "motion envelope," defining and quantifying motion (range and shape - including the outer perimeter of the extreme of motion - i.e. the envelope) of the upper extremity. The linear and rotational motion results from multiple arm motions match measurements taken with videography and benchtop goniometer.

Conclusions: A conformal, stretchable electronic motion sensor effectively captures limb motion in multiple degrees of freedom, allowing generation of characteristic signatures which may be readily recorded, stored, and analyzed. Wearable conformal skin adherent sensor patchs allow on-body, mobile, personalized determination of motion and flexibility parameters. These sensors allow motion assessment while mobile, free of a fixed laboratory environment, with utility in the field, home, or hospital. These sensors and mode of analysis hold promise for providing digital "motion biomarkers" of health and disease.

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