Effect of increasing workload on knee extensor and flexor muscular activity during cycling as measured with intramuscular electromyography

作者
Julio Cézar Lima da Silva,Maria Ekblom,Olga Tarassova,Eva Andersson,Gustaf Rönquist,Heléne Grundström,T Arndt
出处
期刊:PLOS ONE [Public Library of Science]
卷期号:13 (8): e0201014-e0201014 被引量:21
标识
DOI:10.1371/journal.pone.0201014
摘要

The purpose of this study was to describe the effect of increasing workload on individual thigh muscle activation during a 20 minute incremental cycling test. Intramuscular electromyographic signals were recorded from the knee extensors rectus femoris, vastus lateralis, vastus medialis and vastus intermedius and the knee flexors semimembranosus, semitendinosus, and the short and long heads of the biceps femoris during increasing workloads. Mean activation levels were compared over the whole pedaling cycle and the crank angles at which onset and offset of activation and peak activity occurred were identified for each muscle. These data were compared between three workloads. EMG activation level significantly increased (p<0.05) with increasing workload in the rectus femoris, vastus medialis, vastus lateralis, vastus intermedius, biceps femoris long head, semitendinosus and semimembranosus but not in the biceps femoris short head. A significant change in activation timing was found for the rectus femoris, vastus lateralis, vastus medialis and semitendinosus. Of the knee flexors only the short head of the biceps femoris had its peak activity during the upstroke phase at the two highest workloads indicating a unique contribution to knee flexion.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
十二完成签到 ,获得积分10
刚刚
顺利的爆米花完成签到 ,获得积分10
1秒前
情怀应助阮小粒采纳,获得10
2秒前
邺水朱华完成签到,获得积分10
4秒前
4秒前
吞吞完成签到 ,获得积分10
5秒前
5秒前
5秒前
行走的荷尔蒙应助邱冯冯采纳,获得30
6秒前
7秒前
MedChai完成签到,获得积分10
10秒前
11秒前
TRTR发布了新的文献求助10
11秒前
CYQ发布了新的文献求助10
11秒前
聪明的归尘完成签到,获得积分10
11秒前
烟花应助huxiao采纳,获得10
12秒前
迷你的明辉完成签到,获得积分10
13秒前
14秒前
14秒前
Dead Cells完成签到,获得积分10
15秒前
ranta发布了新的文献求助10
16秒前
16秒前
魔幻梦曼完成签到,获得积分10
17秒前
亲爱的辛德瑞拉完成签到,获得积分10
18秒前
高大怀梦发布了新的文献求助10
20秒前
molihuakai应助木子采纳,获得10
20秒前
20秒前
muzian完成签到 ,获得积分10
20秒前
21秒前
21秒前
ding应助科研通管家采纳,获得30
21秒前
Hello应助科研通管家采纳,获得10
21秒前
烟花应助科研通管家采纳,获得10
22秒前
bkagyin应助科研通管家采纳,获得10
22秒前
zc发布了新的文献求助10
22秒前
CipherSage应助科研通管家采纳,获得10
22秒前
丘比特应助科研通管家采纳,获得30
22秒前
SciGPT应助科研通管家采纳,获得10
22秒前
小马甲应助科研通管家采纳,获得10
22秒前
呆呆完成签到 ,获得积分10
22秒前
高分求助中
Markov Chain Monte Carlo 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
How to Use Machine Learning in Chemistry: An Introduction 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7581074
求助须知:如何正确求助?哪些是违规求助? 9160391
关于积分的说明 19599008
捐赠科研通 7163578
什么是DOI,文献DOI怎么找? 3265977
关于科研通互助平台的介绍 2430899
邀请新用户注册赠送积分活动 2257033