Faculty of Kinesiology, University of Calgary, Calgary, AB, Canada.
Biomedical Engineering Graduate Program, University of Calgary, Calgary, AB, Canada.
Med Biol Eng Comput. 2017 Nov;55(11):2015-2025. doi: 10.1007/s11517-017-1645-7. Epub 2017 Apr 8.
The Fuglevand model is often used to address challenging questions in neurophysiology; however, there are elements of the neuromuscular system unaccounted for in the model. For instance, in some muscles, slow and fast motor units (MUs) tend to reside deep and superficially in the muscle, respectively, necessarily altering the development of surface electromyogram (EMG) power during activation. Thus, the objective of this study was to replace the randomized MU territory (MUT) placement algorithm in the Fuglevand model with an optimized method capable of reflecting these observations. To accomplish this, a weighting term was added to a previously developed optimization algorithm to encourage regionalized MUT placement. The weighting term consequently produced significantly different muscle fibre type content in the deep and superficial portions of the muscle. The relation between simulated EMG and muscle force was found to be significantly affected by regionalization. These changes were specifically a function of EMG power, as force was unaffected by regionalization. These findings suggest that parameterizing MUT regionalization will allow the model to produce a larger variety of EMG-force relations, as is observed physiologically, and could potentially simulate the loss of specific MU types as observed in ageing and clinical populations.
Fuglevand 模型常用于解决神经生理学中的难题;然而,该模型并未考虑到一些肌肉骨骼系统的因素。例如,在一些肌肉中,慢肌和快肌运动单位(MU)分别倾向于位于肌肉的深层和浅层,这必然会改变激活过程中表面肌电图(EMG)功率的发展。因此,本研究的目的是用一种能够反映这些观察结果的优化方法来替代 Fuglevand 模型中的随机 MU 分布(MUT)放置算法。为此,在先前开发的优化算法中添加了一个加权项,以鼓励 MUT 的区域化分布。该加权项随后在肌肉的深层和浅层产生了明显不同的肌纤维类型含量。发现模拟 EMG 和肌肉力量之间的关系受到区域化的显著影响。这些变化是 EMG 功率的特定函数,因为力量不受区域化的影响。这些发现表明,参数化 MUT 区域化将使模型能够产生更多种 EMG-力量关系,就像在生理学中观察到的那样,并且可能模拟在衰老和临床人群中观察到的特定 MU 类型的丧失。