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. 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. 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.

中文翻译：

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通过无线可穿戴传感器进行人体运动成分和包络表征。

肢体生物力学的表征对于分析和管理衰老、运动和疾病中的运动具有广泛的意义。动作捕捉摄像和身上可穿戴传感器是表征身体线性和角运动的强大工具，但通常很麻烦、检测能力有限，而且基本上不便携。在这里，我们研究了利用由可拉伸电子设备制造的先进可穿戴传感器来表征人臂的线性和角运动以提供临床反馈的可行性。将带有嵌入式加速计和陀螺仪的可穿戴皮肤粘合贴片（BioStampRC，MC10 Inc.）贴在健康志愿者前臂的掌侧表面。手臂伸展/弯曲以适应三种不同方案的运动范围：1) 水平内收/外展 2) 弯曲/伸展 3) 垂直外展。数据被传输和记录，揭示了三个独立轴上运动的信号“模式”。额外的信号处理和过滤提供了将身体每个平面中的这些运动可视化的能力；以及手臂的 3 维运动包络线。研究的三种运动机制均具有独特的模式——具有可识别的定性和定量差异。所有三种运动模式的整合允许构建“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 - 即包络）。多个手臂运动产生的线性和旋转运动结果与摄像和台式测角仪测量的结果相匹配。共形、可拉伸的电子运动传感器有效地捕获多个自由度的肢体运动，从而生成可以轻松记录、存储和分析的特征签名。可穿戴式适形皮肤粘附传感器贴片可实现贴身、移动、个性化的运动和灵活性参数确定。这些传感器允许在移动时进行运动评估，不受固定实验室环境的影响，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“运动生物标记”。