基于肌电信号的人体下肢运动意图映射研究进展

Advances in human lower limb motion intention mapping based on electromyography

智能下肢假肢与下肢外骨骼是肢体功能障碍者恢复日常运动的重要手段。基于肌电信号的直接意图控制是其自适应、自主控制的关键技术之一。针对此问题,阐述了基于肌电信号的人体下肢运动意图映射研究进展,包括比例肌电法、肌骨模型法和人工智能算法,讨论了基于肌电信号的人体运动意图映射研究所面临的主要问题。最后,对该领域未来发展方向进行了展望和总结。

Robotic lower limb prosthesis and lower limb exoskeletons play an important role in assisting people with limb disabilities to recover daily activities.Electromyography(EMG)-based direct volitional control is the key step towards adaptive and autonomously control.To solve this problem,the research progress on human lower limb motion intention mapping based on surface EMG signals was addressed including proportional EMG control,musculoskeletal model and artificial intelligence,and the key challenges faced by them were discussed.At last,existing challenges and future directions were discussed.