Wang Tiantong, Zhao Yunbiao, Wang Qining
IEEE Trans Biomed Eng. 2023 Dec;70(12):3401-3412. doi: 10.1109/TBME.2023.3287729. Epub 2023 Nov 21.
The co-located and concurrent measurement of both muscular neural activity and muscular deformation is considered necessary in many applications, such as medical robotics, assistive exoskeletons and muscle function evaluations. Nevertheless, conventional muscle-related signal perception systems either detect only one of these modalities, or are made with rigid and bulky components that cannot provide conformal and flexible interface. Herein, a flexible, easy-to-fabricate, bimodal muscular activity sensing device, which collects neural and mechanical signal at the same muscle location, is reported. The sensing patch includes a screen-printed sEMG sensor, and a pressure-based muscular deformation sensor (PMD sensor) based on a highly sensitive, co-planar iontronic pressure sensing unit. Both sensors are integrated on a super-thin (25 μm) substrate. The sEMG sensor shows a high signal-to-noise ratio of 37.1 dB, and the PMD sensor sensor exhibits a high sensitivity of 70.9 kPa . The responses of the sensor to three types of muscle activities (isotonic, isometric, and passive stretching) were analyzed and validated by ultrasound imaging. Bimodal signals during dynamic walking experiments with different level-ground walking speeds were also investigated. The application of the bimodal sensor was verified in gait phase estimation, and results show that the assembly of both modalities significantly reduce (p < 0.05) the average estimation error across all subjects and all walking speeds to 3.82%. Demonstrations show the potential of this sensing device for informative evaluation of muscular activities, and its abilities in human-robot interaction.
在许多应用中,如医疗机器人、辅助外骨骼和肌肉功能评估,同时测量肌肉神经活动和肌肉变形被认为是必要的。然而,传统的与肌肉相关的信号感知系统要么只能检测到这两种模式中的一种,要么采用刚性和笨重的组件,无法提供贴合和灵活的接口。本文报道了一种灵活、易于制造的双模肌肉活动传感装置,它可以在同一肌肉位置采集神经和机械信号。传感贴片包括一个丝网印刷的表面肌电传感器和一个基于高灵敏度共面离子电子压力传感单元的基于压力的肌肉变形传感器(PMD 传感器)。这两个传感器都集成在一个超薄(25μm)的衬底上。sEMG 传感器具有 37.1dB 的高信噪比,PMD 传感器具有 70.9kPa 的高灵敏度。通过超声成像分析和验证了传感器对三种类型的肌肉活动(等张、等长和被动拉伸)的响应。还研究了不同平地行走速度下动态行走实验中的双模信号。双模传感器在步态相位估计中的应用得到了验证,结果表明,两种模式的组合将所有受试者和所有行走速度的平均估计误差显著降低(p<0.05)至 3.82%。演示表明了这种传感装置在肌肉活动的信息评估以及在人机交互中的能力。