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用于游泳肌肉疲劳研究的表面肌电图谱参数

Surface Electromyography Spectral Parameters for the Study of Muscle Fatigue in Swimming.

作者信息

Puce Luca, Pallecchi Ilaria, Marinelli Lucio, Mori Laura, Bove Marco, Diotti Daniele, Ruggeri Piero, Faelli Emanuela, Cotellessa Filippo, Trompetto Carlo

机构信息

Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, Genoa, Italy.

National Research Council (CNR), SPIN institute, Department of Physics, Genoa, Italy.

出版信息

Front Sports Act Living. 2021 Feb 19;3:644765. doi: 10.3389/fspor.2021.644765. eCollection 2021.

Abstract

The purpose of this study was to assess validity, stability and sensitivity, of 4 spectral parameters-median frequency (F), mean frequency (F), Dimitrov index (DI), and mean instant frequency (F)-in measuring localized muscle fatigue in swimming and to investigate their correlation with the variations of kinematic data and mechanical fatigue. Electrophysiological measures of muscle fatigue were obtained in real-time during a 100 m front crawl test at maximum speed in 15 experienced swimmers, using surface electromyography in six muscles employed in front crawl, while kinematic data of swimming was measured from video analysis. Mechanical fatigue was measured as the difference between muscle strength prior to and immediately after the 100 m front crawl in a dry-land multi-stage isometric contraction test. Statistically significant fatigue ( < 0.0001) was found for all spectral parameters in all muscles. F and F varied between 10 and 25%, DI between 50 and 150%, and F between 5 and 10%. Strong correlation (Pearson ≥ 0.5) with mechanical fatigue was found for all spectral parameters except for F and it was strongest for F and F. From our study, it turns out that F and F are more valid and stable parameters to measure fatigue in swimming, while DI is more sensitive.

摘要

本研究的目的是评估4个频谱参数——中频(F)、平均频率(F)、季米特洛夫指数(DI)和平均瞬时频率(F)——在测量游泳中局部肌肉疲劳时的有效性、稳定性和敏感性,并研究它们与运动学数据变化和机械疲劳的相关性。在15名有经验的游泳运动员以最大速度进行100米自由泳测试期间,使用自由泳中使用的六块肌肉的表面肌电图实时获取肌肉疲劳的电生理测量值,同时通过视频分析测量游泳的运动学数据。在旱地多级等长收缩试验中,机械疲劳被测量为100米自由泳前后肌肉力量的差异。所有肌肉的所有频谱参数均发现有统计学意义的疲劳(<0.0001)。F和F变化在10%至25%之间,DI在50%至150%之间,F在5%至10%之间。除F外,所有频谱参数与机械疲劳均有强相关性(皮尔逊≥0.5),其中F和F的相关性最强。从我们的研究来看,结果表明F和F是测量游泳疲劳更有效和稳定的参数,而DI更敏感。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ccfa/7933468/c02a8dc4de29/fspor-03-644765-g0001.jpg

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