School of Physical Therapy, Chung Shan Medical University, Taichung City, Taiwan ; Physical Therapy Room, Chung Shan Medical University Hospital, Taichung City, Taiwan.
PLoS One. 2013 Sep 30;8(9):e74273. doi: 10.1371/journal.pone.0074273. eCollection 2013.
Force intermittency is one of the major causes of motor variability. Focusing on the dynamics of force intermittency, this study was undertaken to investigate how force trajectory is fine-tuned for static and dynamic force-tracking of a comparable physical load. Twenty-two healthy adults performed two unilateral resistance protocols (static force-tracking at 75% maximal effort and dynamic force-tracking in the range of 50%-100% maximal effort) using the left hand. The electromyographic activity and force profile of the designated hand were monitored. Gripping force was off-line decomposed into a primary movement spectrally identical to the target motion and a force intermittency profile containing numerous force pulses. The results showed that dynamic force-tracking exhibited greater intermittency amplitude and force pulse but a smaller amplitude ratio of primary movement to force intermittency than static force-tracking. Multi-scale entropy analysis revealed that force intermittency during dynamic force-tracking was more complex on a low time scale but more regular on a high time scale than that of static force-tracking. Together with task-dependent force intermittency properties, dynamic force-tracking exhibited a smaller 8-12 Hz muscular oscillation but a more potentiated muscular oscillation at 35-50 Hz than static force-tracking. In conclusion, force intermittency reflects differing trajectory controls for static and dynamic force-tracking. The target goal of dynamic tracking is achieved through trajectory adjustments that are more intricate and more frequent than those of static tracking, pertaining to differing organizations and functioning of muscular oscillations in the alpha and gamma bands.
力间歇性是运动可变性的主要原因之一。本研究聚焦于力间歇性的动力学,旨在探究在静态和动态力跟踪相类似的物理负荷时,力轨迹是如何被精细调整的。22 名健康成年人使用左手进行了两项单侧阻力协议(75%最大努力的静态力跟踪和 50%-100%最大努力的动态力跟踪)。监测指定手的肌电图活动和力曲线。握力离线分解为与目标运动在频谱上完全相同的主运动和包含多个力脉冲的力间歇性曲线。结果表明,动态力跟踪表现出更大的间歇性幅度和力脉冲,但主运动与力间歇性的幅度比静态力跟踪小。多尺度熵分析表明,与静态力跟踪相比,动态力跟踪在低时间尺度上的力间歇性更为复杂,但在高时间尺度上更为规则。与任务相关的力间歇性特性一起,动态力跟踪显示出较小的 8-12 Hz 肌肉振荡,但在 35-50 Hz 时更增强的肌肉振荡,而静态力跟踪则没有。总之,力间歇性反映了静态和动态力跟踪的轨迹控制的不同。动态跟踪的目标是通过比静态跟踪更复杂和更频繁的轨迹调整来实现的,这与α和γ频段肌肉振荡的不同组织和功能有关。