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

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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"

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