Lab of Intelligent Biomechanics, Robotics, and Rehab Technology (LIBRTy), Department of Mechanical Engineering, Polytechnique Montréal, P.O. Box 6079 Station Centre-Ville, Montréal, QC H3C 3A7, Canada.
Institute of Biomedical Engineering, Polytechnique Montreal, P.O. Box 6079 Station Centre-Ville, Montréal, QC H3C 3A7, Canada.
Sensors (Basel). 2022 Dec 14;22(24):9812. doi: 10.3390/s22249812.
In the field of transcutaneous functional electrical stimulation (FES), open-loop and closed-loop control strategies have been developed to restore functions of the lower limbs: walking, standing up, maintaining posture, and cycling. These strategies require sensors that provide feedback information on muscle activity or biomechanics of movement. Since muscle response induced by transcutaneous FES is nonlinear, time-varying, and dependent on muscle fatigue evolution, the choice of sensor type and control strategy becomes critical. The main objective of this review is to provide state-of-the-art, emerging, current, and previous solutions in terms of control strategies. Focus is given on transcutaneous FES systems for the lower limbs. Using Compendex and Inspec databases, a total of 135 review and conference articles were included in this review. Recent studies mainly use inertial sensors, although the use of electromyograms for lower limbs has become more frequent. Currently, several researchers are opting for nonlinear controllers to overcome the nonlinear and time-varying effects of FES. More development is needed in the field of systems using inertial sensors for nonlinear control. Further studies are needed to validate nonlinear control systems in patients with neuromuscular disorders.
在经皮功能性电刺激(FES)领域,已经开发出开环和闭环控制策略来恢复下肢功能:行走、站立、保持姿势和骑自行车。这些策略需要传感器来提供肌肉活动或运动生物力学的反馈信息。由于经皮 FES 引起的肌肉反应是非线性的、时变的,并且取决于肌肉疲劳的演变,因此传感器类型和控制策略的选择变得至关重要。本综述的主要目的是提供控制策略方面的最新、新兴、当前和以前的解决方案。重点介绍了用于下肢的经皮 FES 系统。使用 Compendex 和 Inspec 数据库,共纳入了 135 篇综述和会议文章。最近的研究主要使用惯性传感器,尽管用于下肢的肌电图的使用变得更加频繁。目前,一些研究人员正在选择非线性控制器来克服 FES 的非线性和时变效应。在使用惯性传感器进行非线性控制的系统领域还需要进一步的发展。需要进一步研究在患有神经肌肉疾病的患者中验证非线性控制系统。