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首页> 外文期刊>International Journal of Neural Systems >Real-Time Closed-Loop Functional Electrical Stimulation Control of Muscle Activation with Evoked Electromyography Feedback for Spinal Cord Injured Patients
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Real-Time Closed-Loop Functional Electrical Stimulation Control of Muscle Activation with Evoked Electromyography Feedback for Spinal Cord Injured Patients

机译:肌肉激活的实时闭环功能电刺激控制脊髓受伤患者的诱发电肌自动反馈

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摘要

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 M-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.
机译:功能电刺激(FES)是一种神经调节技术,以帮助恢复脊髓损伤(SCI)患者的电机功能。通过向电动脉冲的电动脉冲输送到电动机障碍的受试者的肌肉,FES能够人工诱导肌肉收缩。诱发的肌电图(EEMG)用于记录这种FES诱导的电肌肉活性并呈现M波的形式。为了监测刺激下的电肌肉活动并确保安全刺激配置,需要开发利用EEMG反馈的闭环FES控制,以便为失去自愿肌肉收缩能力的SCI患者开发。这项工作提出了一种闭环FES系统,用于通过电气刺激的在线调制脉冲宽度(PW)对肱三头肌和胫骨肌群进行实时控制肌肉活化。 FES下的特异性时间变体肌响应被肌肉激励模型明确地反映,肌肉激励模型分别由Hammersein系统描述,其输入和输出分别为PW和EEMG。采用模型预测控制来计算基于肌肉激励模型的PW,可以在线更新其参数。提供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。在三种能够对临床环境中的三个能够体育受试者和五个SCI患者的实时实验结果表明,基于所提出的闭环FES控制方案跟踪上述参考肌肉激活模式的有希望的表演。

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