Limonta Eloisa, Rampichini Susanna, Cè Emiliano, Esposito Fabio
Department of Biomedical Sciences for Health, University of Milan, Via G. Colombo 71, 20133, Milan, Italy,
Eur J Appl Physiol. 2015 Mar;115(3):507-19. doi: 10.1007/s00421-014-3036-1. Epub 2014 Nov 4.
The aim of the study was to evaluate the force control in the complete absence of visual feedback and the effect of repeated contractions without visual feedback.
Twelve physically active males (age 23 ± 1 years; stature 1.74 ± 0.07 m; body mass 71 ± 6 kg) performed isometric tasks at 20, 40 and 60% maximal voluntary contraction (MVC) for 20 s. For each intensity, a trial with force visual feedback (FB) was followed by 3 trials without FB (noFB-1, noFB-2, noFB-3). During contraction, force and surface electromyogram (EMG) from the vastus lateralis muscle were recorded. From force signal, the coefficient of variation (CV, force stability index), the distance of force from target (ΔF, force accuracy index) and the time within the target (t-target) were determined. From EMG signal, the root mean square (RMS) and mean frequency (MF) were calculated.
MVC was 679.14 ± 38.22 N. In noFB-1, CV was similar to FB, ΔF was higher and t-target lower (P < 0.05) than in FB. EMG-RMS in noFB-1 was lower than in FB at 40 and 60%MVC (P < 0.05). A decrease in ΔF between noFB-1 and noFB-3 (P < 0.05) and an increase in t-target from noFB-1 to noFB-3 (P < 0.05) occurred at 20% MVC. A difference in EMG-RMS among noFB conditions was retrieved only at 60% MVC (P < 0.05).
These findings suggest that the complete absence of visual feedback decreased force accuracy but did not affect force stability. Moreover, the repetition of noFB trials improved force accuracy at low exercise intensity, suggesting that real-time visual information could be obviated by other feedbacks for force control.
本研究旨在评估在完全没有视觉反馈的情况下的力控制,以及无视觉反馈时重复收缩的效果。
12名身体活跃的男性(年龄23±1岁;身高1.74±0.07米;体重71±6千克)以最大自主收缩(MVC)的20%、40%和60%进行20秒的等长任务。对于每种强度,先进行一次有力视觉反馈(FB)的试验,然后进行3次无FB的试验(noFB-1、noFB-2、noFB-3)。在收缩过程中,记录股外侧肌的力和表面肌电图(EMG)。从力信号中,确定变异系数(CV,力稳定性指数)、力与目标的距离(ΔF,力准确性指数)以及在目标范围内的时间(t-目标)。从EMG信号中,计算均方根(RMS)和平均频率(MF)。
MVC为679.14±38.22牛。在noFB-1中,CV与FB相似,ΔF更高,t-目标比FB更低(P<0.05)。在40%和60%MVC时,noFB-1中的EMG-RMS低于FB(P<0.05)。在20%MVC时,noFB-1和noFB-3之间的ΔF降低(P<0.05),从noFB-1到noFB-3的t-目标增加(P<0.05)。仅在60%MVC时,noFB条件之间的EMG-RMS存在差异(P<0.05)。
这些发现表明,完全没有视觉反馈会降低力的准确性,但不会影响力的稳定性。此外,无FB试验的重复在低运动强度下提高了力的准确性,这表明实时视觉信息可以被其他用于力控制的反馈所取代。