Tonon Alberto, Pozzo Renzo, Pollastri Stefano, Centemeri Roberto, Mochizuki Luis
Department of Medicine, University of Udine, Udine, Italy.
Department of Medicine and Surgery, University of Milan Bicocca, Milan, Italy.
J Musculoskelet Neuronal Interact. 2025 Jun 1;25(2):160-171.
This investigation examined the muscle's activation patterns of shoulder girdle principal muscles during a set of rehabilitation exercises.
Thirty healthy participants (21 males, 9 females) performed a randomized set (12 repetitions at 2 s/repetition) of 7 exercises under natural and elastic loading conditions. The activation of 8 muscles was measured by surface electromyography (sEMG) and quantified as percentage of their maximal activation (%MVC). A linear encoder allowed to recognise the concentric and eccentric phases.
The execution time of 2 s was provided for most of exercises and conditions; however, females showed a higher variability especially in the elastic load condition. Considering a 20 %MVC as a sEMG threshold for low muscular activation, the ranking order of each muscle was determined for each exercise and loading conditions. By performing regression analysis with respect to the sEMG levels and ranking order, a neuromuscular cost can be evaluated and consequently the ability to perform the same work but with different efficiency.
Linear and non-linear regression curves can be calculated and suggested as reference models. Hence the data presented here can be used as guideline for a more individualised rehabilitation programs or for specific tasks in the resistance strength training.
本研究调查了一组康复锻炼过程中肩带主要肌肉的激活模式。
30名健康参与者（21名男性，9名女性）在自然负荷和弹性负荷条件下对7项锻炼进行随机分组（每组12次重复，每次重复2秒）。通过表面肌电图（sEMG）测量8块肌肉的激活情况，并将其量化为最大激活百分比（%MVC）。线性编码器用于识别向心和离心阶段。
大多数锻炼和条件下的执行时间为2秒；然而，女性表现出更高的变异性，尤其是在弹性负荷条件下。将20%MVC作为低肌肉激活的sEMG阈值，确定了每项锻炼和负荷条件下各肌肉的排名顺序。通过对sEMG水平和排名顺序进行回归分析，可以评估神经肌肉成本，从而评估以不同效率完成相同工作的能力。
可以计算线性和非线性回归曲线并将其作为参考模型。因此，此处呈现的数据可作为更个性化康复计划或抗阻力量训练中特定任务的指导。
