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使用统计非参数映射分析步行和持杖步行过程中躯干肌肉的激活模式。

Patterns of trunk muscle activation during walking and pole walking using statistical non-parametric mapping.

作者信息

Zoffoli Luca, Ditroilo Massimiliano, Federici Ario, Lucertini Francesco

机构信息

Department of Biomolecular Sciences - Division of Exercise and Health Sciences, University of Urbino Carlo Bo, Urbino, Italy.

School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland.

出版信息

J Electromyogr Kinesiol. 2017 Dec;37:52-60. doi: 10.1016/j.jelekin.2017.09.002. Epub 2017 Sep 9.

Abstract

This study used surface electromyography (EMG) to investigate the regions and patterns of activity of the external oblique (EO), erector spinae longissimus (ES), multifidus (MU) and rectus abdominis (RA) muscles during walking (W) and pole walking (PW) performed at different speeds and grades. Eighteen healthy adults undertook W and PW on a motorized treadmill at 60% and 100% of their walk-to-run preferred transition speed at 0% and 7% treadmill grade. The Teager-Kaiser energy operator was employed to improve the muscle activity detection and statistical non-parametric mapping based on paired t-tests was used to highlight statistical differences in the EMG patterns corresponding to different trials. The activation amplitude of all trunk muscles increased at high speed, while no differences were recorded at 7% treadmill grade. ES and MU appeared to support the upper body at the heel-strike during both W and PW, with the latter resulting in elevated recruitment of EO and RA as required to control for the longer stride and the push of the pole. Accordingly, the greater activity of the abdominal muscles and the comparable intervention of the spine extensors supports the use of poles by walkers seeking higher engagement of the lower trunk region.

摘要

本研究采用表面肌电图(EMG)来调查在不同速度和坡度下进行步行(W)和持杖行走(PW)时,腹外斜肌(EO)、竖脊肌最长肌(ES)、多裂肌(MU)和腹直肌(RA)的活动区域和模式。18名健康成年人在电动跑步机上以其步行-跑步偏好转换速度的60%和100%,在跑步机坡度为0%和7%的情况下进行W和PW。采用Teager-Kaiser能量算子来改善肌肉活动检测,并基于配对t检验使用统计非参数映射来突出不同试验对应的EMG模式中的统计差异。所有躯干肌肉的激活幅度在高速时增加,而在跑步机坡度为7%时未记录到差异。在W和PW过程中,ES和MU似乎在足跟触地时支撑上半身,而后者导致EO和RA的募集增加,以控制更长的步幅和撑杆的推力。因此,腹部肌肉的更大活动以及脊柱伸肌的类似干预支持了寻求更高程度参与下躯干区域的步行者使用撑杆。

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