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.

中文翻译：

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脊髓损伤后上肢机器人康复的肌电控制界面

脊髓损伤（SCI）是一种广泛的，改变生命的损伤，导致感觉运动功能受损，虽然曾经被认为是永久性的，但现在正被治疗，希望有一天能够恢复功能。表面肌电图（EMG）提供了在神经肌肉水平上检查和促进人类参与的机会，从而实现了可以与机器人康复相结合的新干预方案，尤其是当由于用户的损伤而无法使用机器人运动或力感测时。在本文中，对十名身体健康的参与者和四名具有宫颈水平SCI的个体进行了评估，评估了肘部和腕部与外骨骼的肌电控制接口。评估了EMG分类器在单自由度（DoF）和多DoF控制模式下识别预期运动方向的能力，以用于类似疗法的环境中。该分类器对健全的参与者具有很高的准确性（单自由度平均超过99％，多自由度平均接近90％），SCI组的表现令人鼓舞，值得进一步研究（平均范围从85％到95％单自由度和可变多自由度性能的平均值约为60％）。这些结果对于将来在SCI机器人康复中使用肌电接口令人鼓舞。值得进一步研究（单自由度的平均范围为85％至95％，可变的多自由度的性能平均为60％左右）。这些结果对于将来在SCI机器人康复中使用肌电接口令人鼓舞。值得进一步研究（单自由度的平均范围为85％至95％，可变的多自由度的性能平均为60％左右）。这些结果对于将来在SCI机器人康复中使用肌电接口令人鼓舞。