Research and Exploratory Development Department, The Johns Hopkins Applied Physics Laboratory, Laurel, MD, 20723, USA.
Air and Missile Defense Sector, The Johns Hopkins Applied Physics Laboratory, Laurel, MD, 20723, USA.
Sci Rep. 2022 Jun 10;12(1):9650. doi: 10.1038/s41598-022-13701-4.
We present a novel design for an e-textile based surface electromyography (sEMG) suit that incorporates stretchable conductive textiles as electrodes and interconnects within an athletic compression garment. The fabrication and assembly approach is a facile combination of laser cutting and heat-press lamination that provides for rapid prototyping of designs in a typical research environment without need for any specialized textile or garment manufacturing equipment. The materials used are robust to wear, resilient to the high strains encountered in clothing, and can be machine laundered. The suit produces sEMG signal quality comparable to conventional adhesive electrodes, but with improved comfort, longevity, and reusability. The embedded electronics provide signal conditioning, amplification, digitization, and processing power to convert the raw EMG signals to a level-of-effort estimation for flexion and extension of the elbow and knee joints. The approach we detail herein is also expected to be extensible to a variety of other electrophysiological sensors.
我们提出了一种新颖的基于弹性导电纺织品的表面肌电（sEMG）服设计，它将可拉伸的导电纺织品作为电极，并将其集成在运动压缩服装内的互连中。这种制造和组装方法是激光切割和热压层压的简单组合，可在典型的研究环境中快速原型设计，而无需任何特殊的纺织或服装制造设备。所使用的材料耐用，能够承受服装中遇到的高应变，并且可以机洗。这种套装产生的 sEMG 信号质量可与传统的粘性电极相媲美，但具有更好的舒适性、耐用性和可重复使用性。嵌入式电子设备提供信号调理、放大、数字化和处理能力，将原始 EMG 信号转换为肘部和膝关节弯曲和伸展的用力程度估计。我们在此详细介绍的方法也有望扩展到各种其他的电生理传感器。
