Herda Trent J, Siedlik Jacob A, Trevino Michael A, Cooper Michael A, Weir Joseph P
Neuromechanics Laboratory, Department of Health, Sport, and Exercise Sciences, University of Kansas, 1301 Sunnyside Avenue, Room 101BE, Lawrence, Kansas, 66045, USA.
Muscle Nerve. 2015 Nov;52(5):832-43. doi: 10.1002/mus.24597. Epub 2015 Sep 3.
We examined motor unit (MU) control properties of resistance-trained (RT) and endurance-trained (ET) individuals.
Five RT (age 25 ± 4 years) and 5 ET (age 19 ± 1 years) subjects participated. Surface electromyography (EMG) data were recorded from the vastus lateralis during isometric trapezoid muscle actions at 40% and 70% of maximal voluntary contraction. Decomposition and wavelet transform techniques were applied to the EMG signals to extract the firing events of single MUs and EMG intensity across the frequency spectrum.
There were significant differences between RT and ET for the mean MU firing rate and derecruitment threshold versus recruitment threshold relationships and EMG intensity at various wavelet bands during the linearly increasing, steady force, and linearly decreasing segments of the trapezoid contraction.
MU behavior is altered as a function of training status and is likely the result of differences in the physical properties of the MU.
我们研究了阻力训练(RT)和耐力训练(ET)个体的运动单位(MU)控制特性。
五名RT受试者(年龄25±4岁)和五名ET受试者(年龄19±1岁)参与研究。在等长梯形肌肉动作过程中,于最大自主收缩的40%和70%时,从股外侧肌记录表面肌电图(EMG)数据。将分解和小波变换技术应用于EMG信号,以提取单个运动单位的放电事件以及整个频谱的EMG强度。
在梯形收缩的线性增加、稳定力和线性下降阶段,RT组和ET组在平均运动单位放电率、去募集阈值与募集阈值的关系以及不同小波频段的EMG强度方面存在显著差异。
运动单位行为随训练状态而改变,这可能是运动单位物理特性差异的结果。