Shao Qi, Buchanan Thomas S
Department of Mechanical Engineering, Center for Biomedical Engineering Research, University of Delaware, 126 Spencer Laboratory, Newark, DE 19716-3140, USA.
J Biomech. 2008 Oct 20;41(14):3097-100. doi: 10.1016/j.jbiomech.2008.07.015. Epub 2008 Aug 30.
We have created a model to estimate the corrective changes in muscle activation patterns needed for a person who has had a stroke to walk with an improved gait-nearing that of an unimpaired person. Using this model, we examined how different functional electrical stimulation (FES) protocols would alter gait patterns. The approach is based on an electromyographically (EMG)-driven model to estimate joint moments. Different stimulation protocols were examined, which generated different corrective muscle activation patterns. These approaches grouped the muscles together into flexor and extensor groups (to simulate FES using surface electrodes) or left each muscle to vary independently (to simulate FES using intramuscular electrodes). In addition, we limited the maximal change in muscle activation (to reduce fatigue). We observed that with the two protocols (grouped and ungrouped muscles), the calculated corrective changes in muscle activation yielded improved joint moments nearly matching those of unimpaired subjects. The protocols yielded different muscle activation patterns, which could be selected based on practical condition. These calculated corrective muscle activation changes can be used in studying FES protocols, to determine the feasibility of gait retraining with FES for a given subject and to determine which protocols are most reasonable.
我们创建了一个模型，用于估计中风患者为实现更接近未受损者的改善步态而行走所需的肌肉激活模式的矫正变化。利用该模型，我们研究了不同的功能性电刺激（FES）方案如何改变步态模式。该方法基于肌电图（EMG）驱动的模型来估计关节力矩。研究了不同的刺激方案，这些方案产生了不同的矫正肌肉激活模式。这些方法将肌肉分组为屈肌和伸肌组（以模拟使用表面电极的FES）或让每块肌肉独立变化（以模拟使用肌内电极的FES）。此外，我们限制了肌肉激活的最大变化（以减少疲劳）。我们观察到，使用这两种方案（肌肉分组和不分组），计算出的肌肉激活矫正变化产生了几乎与未受损受试者相匹配的改善关节力矩。这些方案产生了不同的肌肉激活模式，可以根据实际情况进行选择。这些计算出的矫正肌肉激活变化可用于研究FES方案，确定针对特定受试者进行FES步态再训练的可行性，并确定哪些方案最合理。
