IEEE Trans Neural Syst Rehabil Eng. 2020 Apr;28(4):978-987. doi: 10.1109/TNSRE.2020.2979743. Epub 2020 Mar 10.
Spinal cord injury (SCI) is a widespread, life-altering injury leading to impairment of sensorimotor function that, while once thought to be permanent, is now being treated with the hope of one day being able to restore function. Surface electromyography (EMG) presents an opportunity to examine and promote human engagement at the neuromuscular level, enabling new protocols for intervention that could be combined with robotic rehabilitation, particularly when robot motion or force sensing may be unusable due to the user's impairment. In this paper, a myoelectric control interface to an exoskeleton for the elbow and wrist was evaluated on a population of ten able-bodied participants and four individuals with cervical-level SCI. The ability of an EMG classifier to discern intended direction of motion in single-degree-of-freedom (DoF) and multi-DoF control modes was assessed for usability in a therapy-like setting. The classifier demonstrated high accuracy for able-bodied participants (averages over 99% for single-DoF and near 90% for multi-DoF), and performance in the SCI group was promising, warranting further study (averages ranging from 85% to 95% for single-DoF, and variable multi-DoF performance averaging around 60%). These results are encouraging for the future use of myoelectric interfaces in robotic rehabilitation for SCI.
脊髓损伤 (SCI) 是一种广泛存在的、改变生活的损伤，导致感觉运动功能受损。尽管曾经认为这种损伤是永久性的，但现在正在进行治疗，希望有一天能够恢复功能。表面肌电图 (EMG) 提供了一个在神经肌肉水平上检查和促进人类参与的机会，为干预提供了新的方案，这些方案可以与机器人康复相结合，特别是当由于用户的损伤而无法使用机器人的运动或力感测时。在本文中，评估了一种针对肘腕部外骨骼的肌电控制接口，该接口针对十名健全参与者和四名颈段 SCI 个体进行了测试。评估了 EMG 分类器在类似于治疗的环境中单自由度 (DoF) 和多自由度 (DoF) 控制模式下辨别运动意图方向的能力，以评估其可用性。该分类器在健全参与者中表现出很高的准确性（单自由度的平均值超过 99%，多自由度的接近 90%），在 SCI 组中的表现也很有前景，值得进一步研究（单自由度的平均值在 85%到 95%之间，多自由度的平均值在 60%左右）。这些结果为肌电接口在 SCI 机器人康复中的未来应用提供了希望。
