Development of a control method for OT-assist suits based on EEG and EMG signals

生物信号被用来控制机器人外骨骼。我们的研究小组开发了一种基于脑机接口（BMI）的职业治疗辅助套装（BOTAS），它可以通过脑电图（EEG）和肌电图（EMG）信号来控制。我们开发了一种利用肌肉骨骼数学模型从肌电信号中估计BOTAS手臂和手关节角度的新方法。参与者可以控制该方法赋予的BOTAS。这些结果表明，该方法在控制手臂和手指瘫痪患者的机器人外骨骼方面具有潜在的用途。

Biological signals are used to control robotic exoskeletons. Our research group has developed a Brain-Machine Interface (BMI)-based Occupational Therapy Assist Suit (BOTAS), which can be controlled by both electroencephalography (EEG) and electromyography (EMG) signals. We developed a new method for estimating the joint angles of the arms and hands for the BOTAS from EMG signals using mathematical musculoskeletal models. The participants could control the BOTAS empowered by the method. These results suggest that the method is potentially useful for controlling robotic exoskeletons in patients with paralyzed arms and fingers.