Hamilton-Wright Andrew, Navallas Javier, Stashuk Daniel W
Department of Mathematics and Computer Science, Mount Allison University, New Brunswick, Canada.
Annu Int Conf IEEE Eng Med Biol Soc. 2010;2010:4874-7. doi: 10.1109/IEMBS.2010.5627263.
Motor unit layout algorithms have a significant effect on motor unit fibre densities recorded. Motor unit fibre densities are affected by both the method used to place the motor unit territories, and the mechanism by which muscle fibres are assigned to motor units. The first of these should emulate the process by which separate motor neurons create overlapping territories that cover the muscle cross section, while the second should have some relation to the processes involved with axonal arborization and development of the spatial dispersion of the neuro-muscular junctions. The success of an algorithm in creating physiologically realistic motor unit layouts may be evaluated, in part, by examining the distribution of the muscle fibres assigned to the motor units. This paper examines the motor unit fibre densities found in muscles created by two recent algorithms, and explores the degree to which the concepts used by these algorithms may be shared.
运动单位布局算法对所记录的运动单位纤维密度有显著影响。运动单位纤维密度受用于划分运动单位区域的方法以及肌肉纤维分配到运动单位的机制这两方面的影响。其中第一个方面应模拟独立运动神经元创建覆盖肌肉横截面的重叠区域的过程,而第二个方面应与轴突分支以及神经肌肉接头空间分散发育所涉及的过程有某种关联。一种算法在创建生理上逼真的运动单位布局方面的成功程度,部分可通过检查分配给运动单位的肌肉纤维的分布来评估。本文研究了由两种最新算法创建的肌肉中发现的运动单位纤维密度,并探讨了这些算法所采用概念的共享程度。