Autogenic EMG-controlled functional electrical stimulation for ankle dorsiflexion control.

Autogenic EMG-controlled functional electrical stimulation for ankle dorsiflexion control.
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DOI:
10.1016/j.jneumeth.2010.08.011
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发表时间:
2010-10-30
影响因子:
3
通讯作者:
Chang, Young-Hui
Chang, Young-Hui
中科院分区:
医学4区
文献类型:
--
作者:
Yeom, Hojun;Chang, Young-Hui

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我们的目标是开发和测试一种使用表面电极自生肌电控制的功能性电刺激器(AEMGcFES)稳定、实时地消除残余刺激伪影(RSA)的新系统。这种类型的闭环式功能电刺激可以用来提供更自然、更连续的对下肢瘫痪肌肉的控制。我们在FES领域已经完成的工作的基础上,通过一项重大技术创新--自适应Gram-Schmidt滤波算法,使我们能够实时数字地消除RSA。这种滤波算法能够稳定地实时估计被刺激肌肉的意志意图,并将其作为持续控制同名肌肉刺激的直接信号。作为临床应用的第一步,我们测试了我们的aEMGcFES系统在健康受试者中持续控制脚踝背屈的可行性。我们的结果肯定地表明,具有自适应滤波的aEMGcFES装置可以成比例地响应自愿肌电,并在踝关节受控等长激活过程中激活有力的运动来辅助背屈。我们还验证了在使用aEMGcFES系统时,可以保持正常的踝关节活动范围。我们认为,在健康人中使用表面电极aEMGcFES可以实时消除初级和RSA,并显示出未来临床应用于步态病理的潜在潜力,例如与偏瘫中风相关的足下垂。
Our objectives were to develop and test a new system for the potential for stable, real-time cancellation of residual stimulation artefacts (RSA) using surface electrode autogenic electromyography-controlled functional electrical stimulator (aEMGcFES). This type of closed-loop FES could be used to provide more natural, continuous control of lower extremity paretic muscles. We built upon work that has been done in the field of FES with one major technological innovation, an adaptive Gram-Schmidt filtering algorithm, which allowed us to digitally cancel RSA in real-time. This filtering algorithm resulted in a stable real-time estimation of the volitional intent of the stimulated muscle, which then acted as the direct signal for continuously controlling homonymous muscle stimulation. As a first step toward clinical application, we tested the viability of our aEMGcFES system to continuously control ankle dorsiflexion in a healthy subject. Our results indicate positively that an aEMGcFES device with adaptive filtering can respond proportionally to voluntary EMG and activate forceful movements to assist dorsiflexion during controlled isometric activation at the ankle. We also verified that normal ankle joint range of movement could be maintained while using the aEMGcFES system. We suggest that real-time cancellation of both primary and RSA is possible with surface electrode aEMGcFES in healthy subjects and shows promising potential for future clinical application to gait pathologies such as drop foot related to hemiparetic stroke.
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