Analysis of Muscle Activity During Rowing Stroke Phases

IF 0.8 4区 医学 Q4 BIOPHYSICS Acta of bioengineering and biomechanics Pub Date : 2023-01-01 DOI:10.37190/abb-02269-2023-02
Urszula Czajkowska, Ewelina Świątek-Najwer, Ludomir Jankowski
{"title":"Analysis of Muscle Activity During Rowing Stroke Phases","authors":"Urszula Czajkowska, Ewelina Świątek-Najwer, Ludomir Jankowski","doi":"10.37190/abb-02269-2023-02","DOIUrl":null,"url":null,"abstract":"Purpose Rowing engages large muscle groups, and EMG analysis is used to assess athletes' condition and refine sports technique. The aim of the experiment was to evaluate the muscle activation level during different phases of the rowing cycle on an ergometer. Methods In a study involving one professional and five amateurs, the mean EMG amplitudes from the quadriceps, gastrocnemius, biceps, and triceps brachii were analyzed during different phases of rowing. A comparison was made between the degree of muscle engagement during the exercise between the professional and inexperienced individuals, as well as among the different individuals during recordings obtained at different rowing speeds. The correlation coefficient between the values recorded using a strain gauge and the EMG amplitude recorded from the surface of the biceps and triceps brachii muscles was evaluated. Results The muscle activation pattern during rowing has a predictable character. A difference in the muscle activation pattern during rowing between the professional and amateurs was observed. The EMG signal is correlated with the force recorded by the resistive strain gauge only in the experienced rower at a pace of 20 and 25 cycles per minute. Conclusions Electromyographic analysis can be useful for assessing the correctness of rowing techniques. The activation pattern of muscles during rowing has a predictable nature. The force generated by the participants increases with an increase in rowing frequency.","PeriodicalId":6897,"journal":{"name":"Acta of bioengineering and biomechanics","volume":"7 1","pages":"0"},"PeriodicalIF":0.8000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Acta of bioengineering and biomechanics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.37190/abb-02269-2023-02","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BIOPHYSICS","Score":null,"Total":0}
引用次数: 0

Abstract

Purpose Rowing engages large muscle groups, and EMG analysis is used to assess athletes' condition and refine sports technique. The aim of the experiment was to evaluate the muscle activation level during different phases of the rowing cycle on an ergometer. Methods In a study involving one professional and five amateurs, the mean EMG amplitudes from the quadriceps, gastrocnemius, biceps, and triceps brachii were analyzed during different phases of rowing. A comparison was made between the degree of muscle engagement during the exercise between the professional and inexperienced individuals, as well as among the different individuals during recordings obtained at different rowing speeds. The correlation coefficient between the values recorded using a strain gauge and the EMG amplitude recorded from the surface of the biceps and triceps brachii muscles was evaluated. Results The muscle activation pattern during rowing has a predictable character. A difference in the muscle activation pattern during rowing between the professional and amateurs was observed. The EMG signal is correlated with the force recorded by the resistive strain gauge only in the experienced rower at a pace of 20 and 25 cycles per minute. Conclusions Electromyographic analysis can be useful for assessing the correctness of rowing techniques. The activation pattern of muscles during rowing has a predictable nature. The force generated by the participants increases with an increase in rowing frequency.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
划船阶段的肌肉活动分析
赛艇运动涉及大肌肉群,肌电图分析用于评估运动员的状态和改进运动技术。实验的目的是评估在划船周期的不同阶段肌肉的激活水平。方法对一名专业运动员和五名业余运动员进行研究,分析他们在划船不同阶段的股四头肌、腓肠肌、肱二头肌和肱三头肌的平均肌电波幅。我们比较了专业运动员和没有经验的运动员在运动过程中的肌肉参与程度,以及在不同划船速度下记录的不同运动员之间的肌肉参与程度。利用应变计记录的值与肱二头肌和肱三头肌表面记录的肌电振幅之间的相关系数进行评估。结果划船运动中肌肉的激活模式具有可预测性。在划船过程中,专业选手和业余选手的肌肉激活模式有所不同。肌电图信号与电阻应变计记录的力仅在经验丰富的划船者中以每分钟20和25个周期的速度相关。结论肌电图分析可用于评估划船技术的正确性。划船时肌肉的激活模式具有可预测性。参与者产生的力随着划船频率的增加而增加。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Acta of bioengineering and biomechanics
Acta of bioengineering and biomechanics BIOPHYSICS-ENGINEERING, BIOMEDICAL
CiteScore
2.10
自引率
10.00%
发文量
0
期刊介绍: Acta of Bioengineering and Biomechanics is a platform allowing presentation of investigations results, exchange of ideas and experiences among researchers with technical and medical background. Papers published in Acta of Bioengineering and Biomechanics may cover a wide range of topics in biomechanics, including, but not limited to: Tissue Biomechanics, Orthopedic Biomechanics, Biomaterials, Sport Biomechanics.
期刊最新文献
Characterization of biomaterials with reference to biocompatibility dedicated for patient-specific finger implants Dynamic-passive correction of hallux valgus and associated static foot deformities Quantitative evaluation of stereoscopic augmented reality visualization using an optical see-through head-mounted display Analysis of Muscle Activity During Rowing Stroke Phases Experimental research of energy absorbing structures within helmet samples made with the additive manufacturing method - preliminary study
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1