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基于诱发电位肌电图反馈的实时闭环功能性电刺激肌肉激活控制用于脊髓损伤患者。

Real-Time Closed-Loop Functional Electrical Stimulation Control of Muscle Activation with Evoked Electromyography Feedback for Spinal Cord Injured Patients.

机构信息

1 School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, P. R. China.

2 INRIA, University of Montpellier, Montpellier, France.

出版信息

Int J Neural Syst. 2018 Aug;28(6):1750063. doi: 10.1142/S0129065717500630. Epub 2017 Dec 25.

DOI:10.1142/S0129065717500630
PMID:29378445
Abstract

Functional electrical stimulation (FES) is a neuroprosthetic technique to help restore motor function of spinal cord-injured (SCI) patients. Through delivery of electrical pulses to muscles of motor-impaired subjects, FES is able to artificially induce their muscle contractions. Evoked electromyography (eEMG) is used to record such FES-induced electrical muscle activity and presents a form of [Formula: see text]-wave. In order to monitor electrical muscle activity under stimulation and ensure safe stimulation configurations, closed-loop FES control with eEMG feedback is needed to be developed for SCI patients who lose their voluntary muscle contraction ability. This work proposes a closed-loop FES system for real-time control of muscle activation on the triceps surae and tibialis muscle groups through online modulating pulse width (PW) of electrical stimulus. Subject-specific time-variant muscle responses under FES are explicitly reflected by muscle excitation model, which is described by Hammerstein system with its input and output being, respectively, PW and eEMG. Model predictive control is adopted to compute the PW based on muscle excitation model which can online update its parameters. Four muscle activation patterns are provided as desired control references to validate the proposed closed-loop FES control paradigm. Real-time experimental results on three able-bodied subjects and five SCI patients in clinical environment show promising performances of tracking the aforementioned reference muscle activation patterns based on the proposed closed-loop FES control scheme.

摘要

功能性电刺激(FES)是一种神经假体技术,可帮助恢复脊髓损伤(SCI)患者的运动功能。通过向运动受损受试者的肌肉传递电脉冲,FES 能够人为地诱导他们的肌肉收缩。诱发肌电图(eEMG)用于记录这种 FES 诱导的电肌肉活动,并呈现出一种 [公式:见文本]-波。为了监测刺激下的电肌肉活动并确保安全的刺激配置,需要为失去自主肌肉收缩能力的 SCI 患者开发具有 eEMG 反馈的闭环 FES 控制。这项工作提出了一种闭环 FES 系统,通过在线调节电刺激的脉冲宽度(PW)来实时控制三头肌和胫骨肌群的肌肉激活。肌肉兴奋模型明确反映了 FES 下的受试者特定时变肌肉反应,该模型由具有输入和输出分别为 PW 和 eEMG 的 Hammerstein 系统描述。模型预测控制用于根据肌肉兴奋模型计算 PW,该模型可以在线更新其参数。提供了四种肌肉激活模式作为所需的控制参考,以验证所提出的闭环 FES 控制范式。在临床环境中对三名健康受试者和五名 SCI 患者进行的实时实验结果表明,根据所提出的闭环 FES 控制方案,基于该方案可以很好地跟踪上述参考肌肉激活模式。

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