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精英攀岩者手指屈肌持续等长收缩时的运动单位激活策略。

Motor unit activation strategy during a sustained isometric contraction of finger flexor muscles in elite climbers.

作者信息

Limonta Eloisa, Cè Emiliano, Gobbo Massimiliano, Veicsteinas Arsenio, Orizio Claudio, Esposito Fabio

机构信息

a Department of Biomedical Sciences for Health , University of Milan , Milan , Italy.

b Center of Sport Medicine , Don Gnocchi Foundation , Milan , Italy.

出版信息

J Sports Sci. 2016;34(2):133-42. doi: 10.1080/02640414.2015.1035738. Epub 2015 Apr 21.

DOI:10.1080/02640414.2015.1035738
PMID:25897660
Abstract

The aim of the study was to evaluate, by an electromyographic (EMG) and mechanomyographic (MMG) combined approach, whether years of specific climbing activity induced neuromuscular changes towards performances related to a functional prevalence of fast resistant or fast fatigable motor units. For this purpose, after the maximum voluntary contraction (MVC) assessment, 11 elite climbers and 10 controls performed an exhaustive handgrip isometric effort at 80% MVC. Force, EMG and MMG signals were recorded from the finger flexor muscles during contraction. Time and frequency domain analysis of EMG and MMG signals was performed. In climbers: (i) MVC was higher (762 ± 34 vs 512 ± 57 N; effect size: 1.64; confidence interval: 0.65-2.63; P < 0.05); (ii) endurance time at 80% MVC was 43% longer (34.2 ± 3.7 vs 22.3 ± 1.5 s; effect size: 1.21; confidence interval: 0.28-2.14; P < 0.05); (iii) force accuracy and stability were greater during contraction (P < 0.05); (iv) EMG and MMG parameters were higher throughout the entire isometric effort (P < 0.05). Collectively, force, EMG and MMG combined analysis revealed that several years of specific climbing activity addressed the motor control system to adopt muscle activation strategies based on the functional prevalence of fast resistant motor units.

摘要

本研究的目的是通过肌电图(EMG)和机械肌电图(MMG)相结合的方法,评估多年的特定攀岩活动是否会导致神经肌肉发生变化,以适应与快速抗疲劳或快速疲劳性运动单位功能优势相关的表现。为此,在进行最大自主收缩(MVC)评估后,11名精英攀岩者和10名对照组人员以80%MVC进行了一次力竭性手握等长收缩。在收缩过程中记录手指屈肌的力、EMG和MMG信号。对EMG和MMG信号进行了时域和频域分析。在攀岩者中:(i)MVC更高(762±34 vs 512±57 N;效应大小:1.64;置信区间:0.65 - 2.63;P<0.05);(ii)80%MVC时的耐力时间长43%(34.2±3.7 vs 22.3±1.5 s;效应大小:1.21;置信区间:0.28 - 2.14;P<0.05);(iii)收缩过程中的力精度和稳定性更高(P<0.05);(iv)在整个等长收缩过程中,EMG和MMG参数更高(P<0.05)。总体而言,力、EMG和MMG的综合分析表明,多年的特定攀岩活动使运动控制系统采用基于快速抗疲劳运动单位功能优势的肌肉激活策略。

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