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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）：功能性电刺激涉及通过植入电极人工激活瘫痪肌肉，并已成功用于提高四肢瘫痪者进行日常活动重要运动的能力。然而，功能性电刺激可以产生的运动行为范围仅限于相对较小的一组预编程运动，例如手的抓握和释放。由于识别引发特定运动所需的肌肉刺激模式存在巨大挑战，因此尚未实施更广泛的运动。我们计划使用概率算法根据手部轨迹信息来预测与各种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被转化为调幅脉冲序列，并用于驱动肌肉刺激器，以引起暂时瘫痪的动物的运动。将诱发的运动与所需的运动进行定量比较，以评估该方法的整体有效性。最终，这种概率方法可以作为脑源轨迹信息和现有功能性电刺激系统之间必要的接口，以实现独立且自我控制的上肢神经假体系统。这种集成且灵活的系统将大大提高瘫痪者的运动能力和独立性。该项目的目标是开发一种新方法，通过植入肌肉的电极来人工激活和控制瘫痪的肌肉。这项努力将有助于恢复因脊髓损伤或中风而瘫痪的个体的自主肢体运动。该项目的目标是开发一种新方法来人工激活和控制通过在肌肉中植入电极来使肌肉瘫痪。这项努力将有助于恢复脊髓瘫痪患者的自主肢体运动受伤或中风。