Probabilistic Control of Functional Electrical Stimulation

功能性电刺激的概率控制

基本信息

批准号：
8113507
负责人：
ANDREW J FUGLEVAND
金额：
$ 6.78万
依托单位：
UNIVERSITY OF ARIZONA
依托单位国家：
美国
项目类别：
财政年份：
2008
资助国家：
美国
起止时间：
2008-03-15 至 2012-02-29
项目状态：
已结题

项目摘要

DESCRIPTION (provided by applicant): Functional electrical stimulation involves artificial activation of paralyzed muscles with implanted electrodes and has been used successfully to improve the ability of quadriplegics to perform movements important for daily activities. The range of motor behaviors that can be generated by functional electrical stimulation, however, is limited to a relatively small set of preprogrammed movements such as hand grasp and release. A broader range of movements has not been implemented because of the substantial challenge associated with identifying the patterns of muscle stimulation needed to elicit specified movements. We plan to use a probabilistic algorithm to predict the patterns of muscle activity associated with a wide range of upper limb movements based on hand trajectory information. The predicted patterns of muscle activity will then be transformed into amplitude-modulated trains of pulses and used to drive muscle stimulators in order to evoke movements in temporarily paralyzed animals. The evoked movements are quantitatively compared to the desired movements to evaluate the overall effectiveness of this approach. Ultimately, this probabilistic method could serve as the requisite interface between brain-derived trajectory information and existing functional electrical stimulation systems to realize a self-contained and self-controlled upper limb neuroprosthetic system. Such an integrated and flexible system would greatly increase movement capability, and independence, in paralyzed individuals. The goal of this project is to develop a new method to artificially activate and control paralyzed muscles with electrodes implanted in muscles. This effort will contribute to the restoration of voluntary limb movements in individuals paralyzed because of spinal cord injury or stroke. The goal of this project is to develop a new method to artificially activate and control paralyzed muscles with electrodes implanted in muscles. This effort will contribute to the restoration of voluntary limb movements in individuals paralyzed because of spinal cord injury or stroke.

描述（由申请人提供）：功能性电刺激涉及用植入电极对瘫痪的肌肉进行人工激活，并已成功地用于提高四肢瘫痪对日常活动重要的运动运动的能力。但是，可以通过功能性电刺激产生的运动行为范围仅限于相对较小的预编程运动，例如手掌握和释放。由于与确定引起指定运动所需的肌肉刺激模式相关的巨大挑战，因此没有实施更广泛的运动。我们计划使用概率算法来预测基于手轨迹信息的广泛上肢运动相关的肌肉活动模式。然后，预测的肌肉活动模式将转化为振幅调节的脉冲列车，并用于驱动肌肉刺激剂，以唤起暂时瘫痪的动物的运动。与所需的运动相比，诱发运动是定量的，以评估该方法的整体有效性。最终，这种概率方法可以用作脑衍生的轨迹信息与现有功能电刺激系统之间的必要接口，以实现一个独立且自我控制的上肢神经假体系统。这种综合和灵活的系统将大大提高瘫痪者的运动能力和独立性。该项目的目的是开发一种新方法，用植入肌肉中的电极人为地激活和控制瘫痪的肌肉。由于脊髓损伤或中风，这种努力将有助于恢复瘫痪的个体的自愿肢体运动。该项目的目的是开发一种新的方法来人为地激活和控制用植入肌肉的电极瘫痪的肌肉。这项努力将有助于由于脊髓瘫痪的个体的自愿肢体运动的恢复受伤或中风。