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三维空间中静力作用下的手臂肌肉激活

Arm muscle activation for static forces in three-dimensional space.

作者信息

Flanders M, Soechting J F

机构信息

Department of Physiology, University of Minnesota, Minneapolis 55455.

出版信息

J Neurophysiol. 1990 Dec;64(6):1818-37. doi: 10.1152/jn.1990.64.6.1818.

DOI:10.1152/jn.1990.64.6.1818
PMID:2074466
Abstract
  1. Muscle activity was related to the direction of a static force at the human wrist. For each muscle the force direction of maximal activity and the directional tuning characteristics were determined. 2. Electromyographic (EMG) activity was recorded from nine superficial elbow and/or shoulder muscles while subjects held the right arm stationary in one of six postures. The direction of the force at the wrist was varied in two orthogonal planes. In each experiment a cable was attached to the subject's wrist, and a constant force magnitude was applied in various directions with the use of a pulley system. 3. The relationship between the averaged EMG level and the force direction was described for each muscle, in each posture, and in each plane. The EMG data were fit with a nonlinear, multiple cosine function, which allowed the identification of one, two, or sometimes three separate cosine peaks. 4. Two-cosine functions often provided the best fit to the EMG data. All nine muscles were best fit with a two-cosine function in at least two of the six postures. Four of the muscles had a second peak of activity in more than one-half of the experimental situations. The second peak was often in a direction that was nearly opposite the direction of the first peak and represented a negative contribution to the total force produced at the wrist ("coactivation"). We suggest that multimodal directional tuning results from the convergence of multiple sources of descending signals onto motoneurons. 5. The mechanical actions of nine elbow and/or shoulder muscles were estimated with the use of published data from a cadaver study by Wood and co-workers. Postural changes in the mechanical actions of muscles were substantial. A 45 degrees rotation of the shoulder, for example, might cause a 30-50 degrees change in the direction of force at the wrist that could be produced by the contraction of a given muscle. The magnitude of these postural changes suggests that arm position is an important determinate of EMG patterns. 6. Postural changes in the direction of maximal EMG activity usually paralleled the postural changes in mechanical pulling direction. Postural changes in EMG amplitudes usually covaried with postural changes in mechanical advantage. 7. The posterior deltoid (PD) was an exception to the general rule of covariation of mechanical actions and EMG activities. Instead of reflecting the muscle's mechanical action, the EMG activity of the PD closely resembled the EMG activity of the medial deltoid (MD).(ABSTRACT TRUNCATED AT 400 WORDS)
摘要
  1. 肌肉活动与人类手腕处静态力的方向相关。对于每块肌肉,确定了最大活动时的力方向和方向调谐特性。2. 在受试者将右臂保持在六种姿势之一且静止不动时,记录了九块肘部和/或肩部浅表肌肉的肌电图(EMG)活动。手腕处力的方向在两个正交平面内变化。在每个实验中,将一根缆绳连接到受试者的手腕,并使用滑轮系统在不同方向施加恒定大小的力。3. 描述了每块肌肉在每种姿势和每个平面中平均EMG水平与力方向之间的关系。EMG数据用非线性多重余弦函数拟合,这使得能够识别一个、两个或有时三个单独的余弦峰值。4. 双余弦函数通常能最好地拟合EMG数据。在六种姿势中的至少两种姿势下,所有九块肌肉都能用双余弦函数得到最佳拟合。其中四块肌肉在超过一半的实验情况下有第二个活动峰值。第二个峰值的方向通常与第一个峰值的方向几乎相反,并且对手腕处产生的总力有负向贡献(“共同激活”)。我们认为多模态方向调谐是由于多种下行信号源汇聚到运动神经元上所致。5. 利用伍德及其同事尸体研究的已发表数据估算了九块肘部和/或肩部肌肉的力学作用。肌肉力学作用的姿势变化很大。例如,肩部旋转45度可能会使给定肌肉收缩在手腕处产生的力方向改变30 - 50度。这些姿势变化的幅度表明手臂位置是EMG模式的一个重要决定因素。6. 最大EMG活动方向的姿势变化通常与机械牵拉方向的姿势变化平行。EMG幅度的姿势变化通常与机械优势的姿势变化共变。7. 后三角肌(PD)是力学作用和EMG活动共变一般规律的一个例外。PD的EMG活动与其内侧三角肌(MD)的EMG活动密切相似,而不是反映该肌肉的力学作用。(摘要截取自400字)

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