Journal of Textile Research ›› 2019, Vol. 40 ›› Issue (8): 130-135.doi: 10.13475/j.fzxb.20180907406

• Dyeing and Finishing & Chemicals • Previous Articles     Next Articles

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

CHENG Ningbo1, WU Zhiming1(), KE Sicheng2   

  1. 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 E-mail:wxwuzm@163.com

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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

CLC Number: 

  • TS941.17

Tab.1

Basic datas of subjects"

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

Fig.1

Experimental pants styles figure.(a)Front;(b)Back"

Tab.2

Experimental pants sizecm"

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

Fig.2

Test site distribution map. (a)Front;(b)Back"

Tab.3

Subjective physical sensation level"

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

Tab.4

Correlation between RMS and subjective RPE values of different test point under different degrees of compression"

样裤编号 RMS与RPE的相关性
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

Tab.5

Correlation between MF and subjective RPE values of different test point under different degrees of compression"

样裤编号 MF与RPE的相关性
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

Fig.3

Dynamic pressure of each test point while wearing different degrees of tight compression pants"

Tab.6

Influence of different tightness garment pressure on RMS index of each test point"

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

Fig.4

RMS analysis of each part in different cycling periods"

Fig.5

Analysis chart of electromyographic signal under different degrees of tight cycling pants. (a) Average RMS; (b) Average MF"

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