Influence of gender on the EMG signal of the quadriceps femoris muscles and performance in high-intensity short-term exercise.

作者
João Guilherme Carneiro,Ezequiel Moreira Gonçalves,Thiago Viana Camata,Juliana Melo Altimari,Marcus Vinícius Ribeiro Machado,Alexandre Rosas Batista,G Guerra Junior,Antônio Carlos de Moraes,Leandro Ricardo Altimari
出处
期刊:PubMed [National Institutes of Health]
卷期号:50 (7-8): 326-32 被引量:7
链接
标识
摘要

The aim of this study was to investigate the influence of gender on the EMG signal of the muscles of the quadriceps femoris and the physical performance in high-intensity, short-term exercise. Fourteen volunteers (7 men = 29.1 +/- 2.8 years and 7 women = 22.6 +/- 2.9 years) performed a Wingate Test (WT) with a load of 7.5% of body mass. The variables analyzed during the WT were the Relative Peak Power (W.Kg(-1)) (RPP), Relative Mean Power (W.Kg(-1)) (RMP), Fatigue Index (%) (FI) and Peak Power Instant (s) (PPI). EMG signals of the superficial muscles of the quadriceps femoris (QF) from the right leg: rectus femoris (RF), vastus lateralis (VL) and vastus medialis (VM) were analyzed through root mean square (RMS) values and the normalized median frequency (MNF) determined using the Fast Fourier Transform (FFT). The RPP and the RMP were significantly higher in men when compared to women (9.99 +/- 0.96 vs. 7.66 +/- 1.00 W.kg(-1); 7.23 +/- 0.49 vs. 5.65 +/- 0.61 W.kg(1), P < 0.05; respectively). No significant difference between genders was found on RMS and NMF during WT (P > 0.05). Although RPP and RMP were influenced by gender, the RMS and the NMF of the superficial muscles of the QF did not show the same behavior, suggesting that other mechanisms, not related to motor unit recruitment and speed of nervous stimuli in the muscle fiber may be associated to the lower performance of women in high-intensity, short-term exercise.

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
星辰大海应助三木读文献采纳,获得10
1秒前
1秒前
DeepSleep完成签到,获得积分10
1秒前
小桃子发布了新的文献求助10
1秒前
Joan5639发布了新的文献求助30
2秒前
寒冷黎云发布了新的文献求助10
2秒前
听话的汽车完成签到,获得积分10
3秒前
3秒前
4秒前
4秒前
成就雅容完成签到,获得积分20
4秒前
4秒前
jianjuntang完成签到,获得积分10
5秒前
Richard完成签到,获得积分10
5秒前
小灰灰完成签到 ,获得积分10
5秒前
5秒前
爆米花应助张萌采纳,获得10
5秒前
香蕉觅云应助123采纳,获得30
5秒前
6秒前
香蕉觅云应助123采纳,获得10
6秒前
淡然子轩完成签到,获得积分10
6秒前
7秒前
whisper应助susan采纳,获得30
7秒前
7秒前
酷波er应助大王采纳,获得10
7秒前
Hello应助超帅的谷蓝采纳,获得10
7秒前
不知完成签到 ,获得积分10
8秒前
8秒前
shiyongkang1完成签到,获得积分10
8秒前
8秒前
风和日丽发布了新的文献求助10
8秒前
8秒前
katha发布了新的文献求助10
9秒前
888完成签到,获得积分10
9秒前
酷波er应助董雪采纳,获得10
9秒前
9秒前
夏日天空完成签到,获得积分10
10秒前
10秒前
天天快乐应助123采纳,获得10
11秒前
11秒前
高分求助中
(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
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场现状调查及投资机会研判报告 1000
模型平均及其应用 900
Nondestructive Testing Handbook: Vol. 4, Thermal and Infrared Testing (IR), 4th ed 800
Évora na Idade Média 555
作者名:Kristopher P. Plain,悉尼大学的,目前只能查到其四篇论文,想找到其博士论文 550
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
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 7348534
求助须知:如何正确求助?哪些是违规求助? 8960702
关于积分的说明 19031071
捐赠科研通 6998842
什么是DOI,文献DOI怎么找? 3220519
关于科研通互助平台的介绍 2385342
邀请新用户注册赠送积分活动 2200714