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Neuromuscular control pattern in rhesus monkeys during bipedal walking

机译:恒河猴双足行走过程中的神经肌肉控制模式

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Walking is characterized by repetitive limb movements associated with highly structured patterns of muscle activity. The causal relationships between the muscle activities and hindlimb segments of walking are difficult to decipher. This study investigated these particular relationships and clarified whether they are correlated with speed to further understand the neuromuscular control pattern. Four adult female rhesus monkeys ( Macaca mulatta ) were selected to record gait parameters while walking on a bipedal treadmill at speeds of 0.2, 0.8, 1.4, and 2.0 km/h. We recorded 3 ipsilateral hindlimb muscles by surface recording. In this study, we calculated the correlations between electromyography (EMG) and kinematic parameters (24 EMG*17 kinematic parameters). Of the 408 calculated coefficients, 71.6% showed significant linear correlations. Significant linear correlations were found between muscle activity, such as burst amplitudes and the integral of muscle activity, and the corresponding kinematic parameters of each joint. Most of these relationships were speed independent (91.7% of all variables). Through correlation analysis, this study demonstrated a causal association between kinematic and EMG patterns of rhesus monkey locomotion. Individuals have particular musculoskeletal control patterns, and most of the relationships between hindlimb segments and muscles are speed independent. The current findings may enhance our understanding of neuromusculoskeletal control strategies.
机译:步行的特征是重复的肢体运动与肌肉活动的高度结构化模式相关。肌肉活动与后肢走路之间的因果关系很难解读。这项研究调查了这些特殊的关系,并阐明了它们是否与速度相关,以进一步了解神经肌肉控制模式。选择四只成年雌性恒河猴(Macaca mulatta)记录步态参数,同时在双足跑步机上以0.2、0.8、1.4和2.0 km / h的速度行走。我们通过表面记录记录了3条同侧后肢肌肉。在这项研究中,我们计算了肌电图(EMG)与运动学参数(24个EMG * 17运动学参数)之间的相关性。在408个计算的系数中,有71.6%显示出显着的线性相关性。发现肌肉活动之间存在显着的线性相关性,例如爆发幅度和肌肉活动积分,以及每个关节的相应运动学参数。这些关系大多数都是与速度无关的(占所有变量的91.7%)。通过相关分析,该研究表明恒河猴运动的运动学和肌电图模式之间存在因果关系。个体具有特定的肌肉骨骼控制模式,并且后肢节段与肌肉之间的大多数关系与速度无关。当前的发现可能会增强我们对神经肌肉骨骼控制策略的理解。

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