Journal of Textile Research ›› 2020, Vol. 41 ›› Issue (02): 119-124.doi: 10.13475/j.fzxb.20190200506

• Apparel Engineering • Previous Articles     Next Articles

Research and development of smart garments for waist muscle injury protection

LI Cheng'an1, LU Hong1,2()   

  1. 1. College of Fashion and Design, Donghua University, Shanghai 200051, China
    2. Key Laboratory of Clothing Design and Technology, Ministry of Education, Donghua University, Shanghai 200051, China
  • Received:2019-02-01 Revised:2019-08-28 Online:2020-02-15 Published:2020-02-21
  • Contact: LU Hong E-mail:luhong@dhu.edu.cn

RichHTML

8

PDF (PC)

304

Abstract:

In view of the problem that the beginners of the deadlift project are prone to waist muscle damage, this study developed a wearable muscle fatigue detection system enabling the wearer to grasp the fatigue of the erector spinae in real time, thereby avoiding excessive muscle fatigue. Based on the wearable Myoware electromyography (EMG) sensor and the Arduino UNO development board, the system completed the acquisition and calculation of surface electromyography pulse signals and calculated the surface electrical power frequency. The fatigue threshold value of EMG signal was compared to determine whether muscle fatigue was reached. In this paper, 150 Hz was used as the myoelectric fatigue threshold of the target group by measuring the change data of muscle electrical signals during the deadlift exercise of four male college students. This topic fully considers the wear ability of each electronic module and the wash ability of the sports tights. The detachable organ bag is used as a carrier to realize the combination of the electronic module and the sports tights.

Key words: smart garment, wearable muscle fatigue detection system, electromyography signal, muscle fatigue index, erector spinae

CLC Number: 

  • TS941.17

Fig.1

System structure diagram"

Fig.2

Functional module of Myoware myoelectric sensor"

Fig.3

Wiring diagram of sensor and development board"

Fig.4

MPF fluctuations when feeling fatigue"

Fig.5

MPF variation diagram after first group of deadlift. (a)Subject No. 1;(b)Subject No. 2;(c)Subject No. 3;(d)Subject No. 4"

Fig.6

Comparison of MPF fluctuations in subjects with muscle fatigue. (a)Subject No. 1;(b)Subject No. 2;(c)Subject No. 3;(d)Subject No. 4"

Fig.7

MPF variation diagram when feeling fatigue"

Fig.8

Position of electrode socket"

Fig.9

Flat dimensions of Myoware sensor"

Fig.10

Position of signal processing module."

Fig.11

Anteroposterior view of garment. (a)Front view;(b)Side view;(c)Back view"

[1] 蔡明明, 徐建中, 王凌云, 等. 体操运动员腰部竖脊肌疲劳过程中sEMG的变化[J]. 首都体育学院学报, 2006,18(4):47-48.
CAI Mingming, XU Jianzhong, WANG Lingyun, et al. On the change of sEMG signal in the course of sacropinal muscle fatigue for gymnastic athletes[J]. Journal of Capital University of Physical Education and Sports, 2006,18(4):47-48.
[2] HOGAN M C, KURDAK S S, ARTHUR P G. Effect of gradual reduction in O2 delivery on intracellular homeostasis in contracting skeletal muscle[J]. Journal of Applied Physiology, 1996,80:1313-1321.
doi: 10.1152/jappl.1996.80.4.1313 pmid: 8926261
[3] SUNNERBRAGEN K S, CARLSSON U, SANDBERG A, et al. Electrophysiologic evaluation of muscle fatigue development and recovery in late polio[J]. Arch Phys Med, 2000,81:770-776.
pmid: 10857522
[4] NG J K, RICHARDSON C A. Electromyogaphic amplitude and frequency changes in the iliocostalis lumborum and multifidus muscles during a trunk holding test[J]. Phys Therapy, 1997,77:954-961.
[5] 陈伟婷, 王志中, 胡晓, 等. 基于熵的动态收缩sEMG信号疲劳特征分析[J]. 中国医学物理学杂志, 2006,23(3):204-208.
CHEN Weiting, WANG Zhizhong, HU Xiao, et al. Entropy analysis of sEMG signal during dynamic contractions for assessing muscle fatigue[J]. Chinese Journal of Medical Physics, 2006,23(3):204-208.
[6] 叶伟, 王健, 刘红. 静态负荷诱发肌肉疲劳后恢复期sEMG信号变化规律[J]. 中国应用生理学杂志, 2005,21(2):216-219.
YE Wei, WANG Jian, LIU Hong. sEMG signal change characteristics during the short period of recovery after muscular fatigue with isometric contractions[J]. Chinese Journal of Applied Physiology, 2005,21(2):216-219.
[7] WANG Y, QI C, ZHU S, et al. Surface EMG based analysis of recovery from lumbar fatigue for driver on prairie highway[J]. China Safety Science Jour-nal(CSSJ), 2018,28(5):6-11.
[8] 张非若, 陶鑫, 王波, 等. 驾驶人背部肌肉负荷定量研究[J]. 中国生物医学工程学报, 2013,32(6):685-691.
ZHANG Feiruo, TAO Xin, WANG Bo, et al. Qualification study on driver's back muscle load[J]. Chinese Journal of Biomedical Engineering, 2013,32(6):685-691.
[9] ZHOU W, LI Y, LIU S, et al. Impedance and electromyographic properties of metal dry bioelectrode with non-uniform surface microstructure[J]. Applied Physics A, 2018,124(11):754.
[10] CHRISTOV Ivaylo, ROSITSA Raikova, SILVIJA Angelova. Separation of electrocardiographic from electromyographic signals using dynamic filtration[J]. Medical Engineering & Physics, 2018,57:1-10.
pmid: 29699890
[11] 戴孝林, 朱婷婷, 王曼红, 等. 户外服装衣袖结构功能的分析与设计[J]. 纺织导报, 2017(9):74-76.
DAI Xiaolin, ZHU Tingting, WANG Manhong, et al. Analysis and design of sleeves for outdoor clothing[J]. Chinese Textile Leader, 2017(9):74-76.
[1] . Review of smart garment materials and wearability thereof [J]. Journal of Textile Research, 2015, 36(12): 158-164.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
京ICP备14006648号
Copyright 2021 © Editorial office of Journal of Textile Research
Supported by Beijing Magtech Co.Ltd