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用于产生肩部肌肉最大自主激活的等长标准化测试的最佳组合

Optimal Combinations of Isometric Normalization Tests for the Production of Maximum Voluntary Activation of the Shoulder Muscles.

作者信息

Dal Maso Fabien, Marion Patrick, Begon Mickaël

机构信息

Laboratory of Movement Simulation and Modeling, Montreal University, Montreal, QC, Canada; Rehabilitation Engineering Chair Applied to Pediatrics, Polytechnic Montreal, Montreal, QC, Canada; Marie-Enfant Readaptation Center, Sainte Justine UHC, Montreal, QC, Canada.

Laboratory of Movement Simulation and Modeling, Montreal University, Montreal, QC, Canada; Marie-Enfant Readaptation Center, Sainte Justine UHC, Montreal, QC, Canada.

出版信息

Arch Phys Med Rehabil. 2016 Sep;97(9):1542-1551.e2. doi: 10.1016/j.apmr.2015.12.024. Epub 2016 Jan 20.

DOI:10.1016/j.apmr.2015.12.024
PMID:26801059
Abstract

OBJECTIVE

To identify the smallest combinations of maximum voluntary isometric contraction (MVIC) tests that produce near-maximum voluntary activation (MVA) for a large proportion of participants for the shoulder girdle muscles.

DESIGN

Cross-sectional study.

SETTING

Research center.

PARTICIPANTS

Healthy participants (N=38).

INTERVENTIONS

Not applicable.

MAIN OUTCOME MEASURES

The electromyography of 12 shoulder muscles was recorded while participants performed 15 MVIC tests. The smallest combinations of MVIC tests that met our acceptance criterion (ie, produce 90% of MVA for 90% of participants) were identified. Optimal combinations were identified for each of the 12 muscles individually and for the 12 muscles simultaneously. Electromyographic activation levels of the 95th highest percentile obtained with our optimal combinations and with the Four Normalization Tests previously recommended were compared using paired t tests.

RESULTS

Between 2 and 6 MVIC tests were required for each of the 12 muscles, and 12 MVIC tests were required for the 12 muscles to meet the acceptance criterion. These optimal combinations produced electromyographic activation levels of the 95th highest percentile comprised between 97% and 100% of MVA. These electromyographic activation levels were significantly higher than the electromyographic activation levels obtained with the Four Normalization Tests.

CONCLUSIONS

Although the number of MVIC tests to normalize 12 shoulder muscles was increased compared with previous recommendations, the proposed method ensures that near-MVA (>90%) was obtained for a large proportion of participants (>90%). Moreover, because electromyographic activation levels of the 95th highest percentile were at least 97% of MVA, the identified combinations could reduce the interparticipant variability. The proposed combinations could help to improve electromyographic normalization and therefore reduce the misinterpretations regarding shoulder muscle activation levels.

摘要

目的

确定能使大部分参与者的肩带肌产生接近最大自主激活(MVA)的最大自主等长收缩(MVIC)测试的最小组合。

设计

横断面研究。

设置

研究中心。

参与者

健康参与者(N = 38)。

干预措施

不适用。

主要观察指标

在参与者进行15项MVIC测试时,记录12块肩部肌肉的肌电图。确定符合我们接受标准(即90%的参与者产生90%的MVA)的MVIC测试的最小组合。分别为12块肌肉中的每一块以及同时为12块肌肉确定最佳组合。使用配对t检验比较通过我们的最佳组合和先前推荐的四种归一化测试获得的第95百分位数的肌电图激活水平。

结果

12块肌肉中的每一块需要2至6项MVIC测试,12块肌肉要满足接受标准则需要12项MVIC测试。这些最佳组合产生的第95百分位数的肌电图激活水平占MVA的97%至100%。这些肌电图激活水平显著高于通过四种归一化测试获得的肌电图激活水平。

结论

尽管与先前的建议相比,使12块肩部肌肉归一化所需的MVIC测试数量有所增加,但所提出的方法确保了大部分参与者(>90%)获得接近MVA(>90%)。此外,由于第95百分位数的肌电图激活水平至少为MVA的97%,所确定的组合可以减少参与者之间的变异性。所提出的组合有助于改善肌电图归一化,从而减少关于肩部肌肉激活水平的误解。

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