服装压力对男子骑行运动中肌肉疲劳的影响

doi:10.13475/j.fzxb.20180907406

纺织学报 ›› 2019, Vol. 40 ›› Issue (8): 130-135.doi: 10.13475/j.fzxb.20180907406

服装压力对男子骑行运动中肌肉疲劳的影响

程宁波¹, 吴志明¹(), 柯思成²

1.江南大学教育部针织技术工程研究中心, 江苏无锡 214122
2.上海工程技术大学服装学院, 上海 201620

收稿日期:2018-09-28 修回日期:2019-05-15 出版日期:2019-08-15 发布日期:2019-08-16
通讯作者: 吴志明
作者简介:程宁波(1992—),女,硕士。主要研究方向为现代服装制造技术。
基金资助:
国家自然科学基金项目(61602212);国家轻工技术与工程一流学科自主课题资助项目(2018-28)

Influence of clothing pressure on muscle fatigue during men's cycling

CHENG Ningbo¹, WU Zhiming¹(), KE Sicheng²

1. Engineering Research Center for Knitting, Ministry of Education, Jiangnan University, Wuxi, Jiangsu 214122,China
2. Fashion College, Shanghai University of Engineering Science, Shanghai 201620, China

Received:2018-09-28 Revised:2019-05-15 Online:2019-08-15 Published:2019-08-16
Contact: WU Zhiming

摘要/Abstract

摘要：

为研究骑行运动中骑行裤产生的服装压力对人体肌肉疲劳的影响,以11名骑行爱好者为实验对象,受试者穿着不同号型样衣,借助服装压力测试系统和全无线表面肌电测试系统,分别采集在骑行过程中穿着不同程度紧身骑行裤下肢主要肌肉部位的服装压力值和表面肌电信号,对主观体力感觉等级(RPE)值和客观时域指标均方根振幅(RMS)、频域指标的中位频率(MF)进行相关性分析,对服装压力和肌电指标进行方差分析。结果表明:表面肌电时域指标RMS和频域指标MF与受试者主观疲劳感有一定的相关性,且2个指标的相关性有差异;RMS、MF均可作为生物力学角度评价肌肉疲劳的重要指标;高服装压力可减少肌肉能量损耗,对肌肉疲劳有一定的缓解作用,尤其在骑行运动中后期较为明显;服装压力对不同部位肌肉的影响存在差异,对大腿外侧和内侧的肌肉影响较为明显,对臀大肌无明显影响。

关键词: 服装压力, 骑行运动, 表面肌电, 肌肉疲劳

Abstract:

In order to study the influence of clothing pressure on the body fatigue caused by cycling pants during cycling, 11 riders were used as experimental subjects, subjects worn clothing samples of different sizes, the clothing pressure test system and the full wireless surface emg test system were adopted to collect the clothing pressure values and surface emg signal of the main muscle parts of the lower limbs of the tight-fitting trousers during the cycling, correlation analysis was performed on the rating of perceived exertion(RPE) values, the objective indicators root mean square(RMS) and median frequency(MF), and variance analysis was performed on the clothing pressure and the emg index. The results show that the surface emg time domain index RMS and the frequency domain index MF have a certain correlation with the subjective fatigue, and the correlation between the two indexes is different. RMS and MF can be used as important indicators for the fatigue evaluation of muscles in a biomechanical view. High clothing pressure can reduce the muscle energy loss, and has a certain relief effect on the muscle fatigue, especially in the middle and late stages of the cycling exercise. The influence of clothing pressure on different parts of the muscle varies, the outside of the thigh and the inner muscles are significantly affected, and no significant effect exists on musculus glutaeus maximus.

Key words: clothing pressure, cycling sport, surface electromyography, muscle fatigue

中图分类号:

TS941.17

程宁波, 吴志明, 柯思成. 服装压力对男子骑行运动中肌肉疲劳的影响[J]. 纺织学报, 2019, 40(8): 130-135.

CHENG Ningbo, WU Zhiming, KE Sicheng. Influence of clothing pressure on muscle fatigue during men's cycling[J]. Journal of Textile Research, 2019, 40(8): 130-135.

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参考文献 12

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类别	身高/cm	体重/kg	年龄	腰围/cm	臀围/cm	大腿根围/cm	大腿中围/cm	膝围/cm
最大值	177.5	78.0	26.0	89.0	103.0	58.0	54.0	42.0
最小值	174.0	67.0	23.0	76.0	93.5	52.0	48.0	36.0
标准差	1.7	3.3	1.1	4.1	2.8	2.1	1.9	2.0
均值	177.0	72.0	24.4	82.2	96.5	55.9	51.2	39.0

样裤编号	1/2腰围	1/2臀围	1/2横裆	1/2脚口	裤长
1^#	35	38	44	19.0	52
2^#	36	40	46	19.5	52
3^#	37	42	48	20.0	52
4^#	38	44	50	20.5	52

主观感觉	RPE值
很轻松	6~8
尚轻松	9~10
稍累	11~12
累	13~14
很累	15~16
精疲力竭	17~18

样裤编号	RMS与RPE的相关性
样裤编号	A	B	C	D	E	F
1^#	0.533^**	0.559^**	0.493^**	0.336^*	0.584^*	0.550^**
2^#	0.455^*	0.528^**	0.319^*	0.209	0.513^*	0.480^*
3^#	0.556^*	0.497^**	0.267^*	0.422	0.489	0.472^*
4^#	0.433	0.805^*	0.122	0.272	0.222	0.452

样裤编号	MF与RPE的相关性
样裤编号	A	B	C	D	E	F
1^#	0.496^**	0.412^*	0.243^**	0.669^**	0.136	0.386^**
2^#	0.394^*	0.316^*	0.215^*	0.516^*	0.110	0.213^*
3^#	0.402	0.242^*	0.178	0.286	0.128	0.189^*
4^#	0.368	0.101^*	0.086	0.204	0.069	0.096

服装压力对男子骑行运动中肌肉疲劳的影响

Influence of clothing pressure on muscle fatigue during men's cycling

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样裤编号	t₁	t₂	t₃	t₄	t₅	t₆	t₇	t₈	t₉
1^#	0.687	0.432	0.018^*	0.028^*	0.011^*	0.007^*	0.022^*	0.016^*	0.212
2^#	0.046	0.295	0.065^*	0.080^*	0.048^*	0.063^*	0.013	0.001^*	0.324
3^#	0.047	0.061	0.110	0.555	0.001^*	0.173^*	0.017	0.004^*	0.261
4^#	0.214	0.006	0.373	0.257	0.098	0.275	0.011	0.049	0.167

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