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The resonant component of human physiological hand tremor is altered by slow voluntary movements

机译:缓慢的自发运动会改变人的生理性手震的共振成分

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摘要

Limb resonance imparts a characteristic spectrum to hand tremor. Movement will alter the resonance. We have examined the consequences of this change. Rectified forearm extensor muscle EMG and physiological hand tremor were recorded. In postural conditions the EMG spectrum is relatively flat whereas the acceleration spectrum is sharply peaked. Consequently, the gain between EMG and acceleration is maximal at the frequency where the tremor is largest (∼8 Hz). The shape of the gain curve implies mechanical resonance. Substantial alterations in posture do not significantly change the characteristics of the tremor or the shape or size of the gain curve. By contrast, slow or moderately paced voluntary wrist flexion–extension movements dramatically increase the hand tremor size and lower its peak frequency. These changes in size and frequency of the tremor cannot be attributed to changes in the EMG. Instead they reflect a very large change in the size and shape of the gain curve relating EMG to acceleration. The gain becomes larger and the peak moves to a lower frequency (∼6 Hz). We suggest that a movement-related (thixotropic) alteration in resonant properties of the wrist provides a simple explanation for these changes. The mechanism is illustrated by a model. Our new findings confirm that resonance plays a major role in wrist tremor. We also demonstrate that muscles operate very differently under postural and dynamic conditions. The different coupling between EMG and movement in posture and when moving must pose a considerable challenge for neural predictive control of skeletal muscles.
机译:肢体共振使手部震颤具有特征频谱。运动会改变共振。我们已经研究了这种变化的后果。记录矫正的前臂伸肌肌电和生理性手震。在姿势条件下,EMG频谱相对平坦,而加速度频谱则急剧上升。因此,EMG和加速度之间的增益在震颤最大的频率(〜8 Hz)处最大。增益曲线的形状表示机械共振。姿势的重大改变不会显着改变震颤的特性或增益曲线的形状或大小。相比之下,缓慢或中等节奏的自愿腕部屈伸运动会大大增加手部震颤的大小并降低其峰值频率。震颤的大小和频率的这些变化不能归因于EMG的变化。相反,它们反映了将EMG与加速度相关的增益曲线的大小和形状的很大变化。增益变大,峰值移至较低的频率(约6 Hz)。我们建议,腕部共振特性中与运动有关的(触变)变化为这些变化提供了简单的解释。该机制由模型说明。我们的新发现证实,共振在腕部震颤中起主要作用。我们还证明了在姿势和动态条件下,肌肉的运作有很大不同。 EMG和姿势运动以及运动时的运动之间的不同耦合对于骨骼肌的神经预测控制必将构成相当大的挑战。

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