Department of Structural Engineering, University of California San Diego, La Jolla, CA 92093, USA.
Active, Responsive, Multifunctional, and Ordered-materials Research (ARMOR) Laboratory, University of California San Diego, La Jolla, CA 92093, USA.
Sensors (Basel). 2022 Sep 7;22(18):6768. doi: 10.3390/s22186768.
Insight into, and measurements of, muscle contraction during movement may help improve the assessment of muscle function, quantification of athletic performance, and understanding of muscle behavior, prior to and during rehabilitation following neuromusculoskeletal injury. A self-adhesive, elastic fabric, nanocomposite, skin-strain sensor was developed and validated for human movement monitoring. We hypothesized that skin-strain measurements from these wearables would reveal different degrees of muscle engagement during functional movements. To test this hypothesis, the strain sensing properties of the elastic fabric sensors, especially their linearity, stability, repeatability, and sensitivity, were first verified using load frame tests. Human subject tests conducted in parallel with optical motion capture confirmed that they can reliably measure tensile and compressive skin-strains across the calf and tibialis anterior. Then, a pilot study was conducted to assess the correlation of skin-strain measurements with surface electromyography (sEMG) signals. Subjects did biceps curls with different weights, and the responses of the elastic fabric sensors worn over the biceps brachii and flexor carpi radialis (i.e., forearm) were well-correlated with sEMG muscle engagement measures. These nanocomposite fabric sensors were validated for monitoring muscle engagement during functional activities and did not suffer from the motion artifacts typically observed when using sEMGs in free-living community settings.
对运动过程中肌肉收缩的深入了解和测量,有助于改善肌肉功能评估、量化运动表现以及在神经肌肉骨骼损伤后的康复阶段之前和期间对肌肉行为的理解。我们开发并验证了一种自粘性、弹性纤维、纳米复合、皮肤应变传感器,用于人体运动监测。我们假设这些可穿戴设备的皮肤应变测量结果将揭示在功能性运动过程中肌肉参与的不同程度。为了验证这一假设,我们首先使用负载框架测试验证了弹性纤维传感器的应变传感特性,特别是其线性度、稳定性、可重复性和灵敏度。与光学运动捕捉并行进行的人体测试证实,它们可以可靠地测量小腿和胫骨前肌的拉伸和压缩皮肤应变。然后,进行了一项初步研究,以评估皮肤应变测量与表面肌电图 (sEMG) 信号的相关性。参与者进行了不同重量的二头肌弯举,佩戴在肱二头肌和桡侧腕屈肌(即前臂)上的弹性纤维传感器的响应与 sEMG 肌肉参与度测量结果具有很好的相关性。这些纳米复合纤维传感器已被验证可用于监测功能性活动中的肌肉参与度,并且不会像在自由生活社区环境中使用 sEMG 时那样受到运动伪影的影响。