Unit Behavior(单位行为)研究综述
Unit Behavior 单位行为 - This study aimed to 1) compare between-vasti motor unit activity and 2) analyze the combined motor unit behavior from both muscles between open and closed kinetic chain exercises. [1] Along with motor unit behaviors and corticomuscular coherence, force fluctuations (Fc) were modeled with non-linear SDA to contrast the reliance of the feedback process and underlying neurophysiological mechanisms by using real feedback, EA, and low-frequency error amplification (LF-EA). [2] However, the influence of muscle spindles on human motor unit behavior during maximal efforts remains untested. [3] SIGNIFICANCE These results indicated the possibility of identifying individual motor unit behavior in dynamic natural contractions. [4] The aim of this study was to characterize the accuracy in the identification of motor unit discharges and to estimate wrist kinematics from motor unit behaviors. [5]本研究旨在 1) 比较大范围运动单元之间的活动，以及 2) 分析开放式和封闭式动力链运动之间两块肌肉的联合运动单元行为。 [1] 除了运动单位行为和皮质肌肉连贯性，力波动 (Fc) 使用非线性 SDA 建模，以通过使用真实反馈、EA 和低频误差放大 (LF-EA) 来对比反馈过程的依赖性和潜在的神经生理机制)。 [2] 然而，在最大努力期间，肌梭对人体运动单位行为的影响仍未得到检验。 [3] 意义 这些结果表明在动态自然收缩中识别个体运动单元行为的可能性。 [4] 本研究的目的是描述识别运动单位放电的准确性，并从运动单位行为估计腕部运动学。 [5]
Motor Unit Behavior 运动单元行为
This study aimed to 1) compare between-vasti motor unit activity and 2) analyze the combined motor unit behavior from both muscles between open and closed kinetic chain exercises. [1] Along with motor unit behaviors and corticomuscular coherence, force fluctuations (Fc) were modeled with non-linear SDA to contrast the reliance of the feedback process and underlying neurophysiological mechanisms by using real feedback, EA, and low-frequency error amplification (LF-EA). [2] However, the influence of muscle spindles on human motor unit behavior during maximal efforts remains untested. [3] SIGNIFICANCE These results indicated the possibility of identifying individual motor unit behavior in dynamic natural contractions. [4] The aim of this study was to characterize the accuracy in the identification of motor unit discharges and to estimate wrist kinematics from motor unit behaviors. [5]本研究旨在 1) 比较大范围运动单元之间的活动，以及 2) 分析开放式和封闭式动力链运动之间两块肌肉的联合运动单元行为。 [1] 除了运动单位行为和皮质肌肉连贯性，力波动 (Fc) 使用非线性 SDA 建模，以通过使用真实反馈、EA 和低频误差放大 (LF-EA) 来对比反馈过程的依赖性和潜在的神经生理机制)。 [2] 然而，在最大努力期间，肌梭对人体运动单位行为的影响仍未得到检验。 [3] 意义 这些结果表明在动态自然收缩中识别个体运动单元行为的可能性。 [4] 本研究的目的是描述识别运动单位放电的准确性，并从运动单位行为估计腕部运动学。 [5]