较量最大的自愿同位数收缩,以使表面部肌肉EMG正常化
Iã Ferreira Miranda1, William Dhein1, Edgar Wagner Neto1
1Departamento de Educação Física, Fisioterapia e Dança from Universidade Federal do Rio Grande do Sul., Porto Alegre, Rio Grande do Sul, Brazil.
Journal of bodywork and movement therapies
|November 29, 2025
概括
这项研究比较了部肌肉的最大自愿同度收缩 (MVIC) 技术. 旋转的MVIC产生了最高的硬骨cleidomastoid激活,而常规的MVIC是最好的前侧骨激活.
科学领域:
- 生物力学 生物力学
- 神经肌肉生理学 神经肌肉生理学
背景情况:
- 精确测量部肌肉激活对于临床评估和康复至关重要.
- 标准化最大自愿同位数收缩 (MVIC) 协议对于可靠的电肌学 (EMG) 数据至关重要.
研究的目的:
- 为了比较三种MVIC技术在激发最大EMG活性时的有效性,在大肌和前肌肌中.
- 确定最佳的MVIC策略,以在这些特定的部肌肉中使EMG信号正常化.
主要方法:
- 表面EMG从14名健康受试者的大肌和前肌中记录.
- 测试了三种MVIC技术:常规 (部曲),旋转 (部侧向曲与旋转) 和侧向曲 (侧位).
- 数据分析涉及RMS平滑,峰值获取和非参数统计测试 (Friedman和Wilcoxon与Bonferroni校正).
主要成果:
- 旋转的MVIC技术产生了最大的EMG激活,用于大肌.
- 传统的MVIC技术为前骨肌产生了最高的EMG激活.
- 在每个肌肉群的MVIC技术之间观察到EMG激活的显著差异.
结论:
- 不同的MVIC策略是最大限度地提高EMG激活的最佳方式,在硬骨肌和前肌肌肉.
- 为了准确的EMG规范化,建议对大骨进行旋转MVIC和对前骨进行常规MVIC.
- 这些发现可以为宫肌肉的标准化EMG测试协议提供信息.
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