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author:

Shi, Jingting (Shi, Jingting.) [1] | Liu, Yanyan (Liu, Yanyan.) [2] | Yan, Hongli (Yan, Hongli.) [3] | Gao, Yueming (Gao, Yueming.) [4] (Scholars:高跃明) | Vasic, Zeljka Lucev (Vasic, Zeljka Lucev.) [5] | Cifrek, Mario (Cifrek, Mario.) [6]

Indexed by:

EI

Abstract:

In the prevention and rehabilitation stage of low back diseases, it is necessary to detect the state of muscles to avoid excessive fatigue and injury caused by continuous exertion of lumbar muscles. In this paper, an in vivo experimental platform for measuring low back muscle impedance was established in order to detect the different force states of muscle and study the corresponding relationship between muscle force state and muscle impedance. In the experiment, Biering-Sorensen (BS) test was used to make the low back muscle contract continuously, and different weights (5 kg, 2.5 kg, 0 kg) were used to distinguish the force state of muscle. The impedance analyzer was used to measure the muscle impedance parameters under different load in the subject's low back muscle for studying the electrical impedance characteristics of different low back muscle states. The results showed that the relative resistance R^{\prime} of EIM was a downward trend with time and the 5 kg load had the fastest decline; The relative reactance X-{c}^{\prime} of EIM was an upward trend with time, the 5 kg load also had the fastest rise. The slope k of the fitting curve of R^{\prime} and X-{c}^{\prime}\text{were}-5.8\times 10^{-4} and 8.76 \times 10^{-4} respectively. Therefore, EIM can effectively detect the state of low back muscles. © 2022 IEEE.

Keyword:

Curve fitting Electric impedance Electric impedance measurement Electromyography Muscle

Community:

  • [ 1 ] [Shi, Jingting]Fuzhou University, College of Physics and Information Engineering, Fuzhou, China
  • [ 2 ] [Shi, Jingting]Fuzhou University, Fujian Province Key Lab. of Medical Instrument and Pharmaceutical Technology, Fuzhou, China
  • [ 3 ] [Liu, Yanyan]Fuzhou University, School of Advanced Manufacturing, Fuzhou, China
  • [ 4 ] [Liu, Yanyan]University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, Croatia
  • [ 5 ] [Yan, Hongli]Fuzhou University, College of Physics and Information Engineering, Fuzhou, China
  • [ 6 ] [Yan, Hongli]Fuzhou University, Fujian Province Key Lab. of Medical Instrument and Pharmaceutical Technology, Fuzhou, China
  • [ 7 ] [Gao, Yueming]Fuzhou University, College of Physics and Information Engineering, Fuzhou, China
  • [ 8 ] [Gao, Yueming]Fuzhou University, Fujian Province Key Lab. of Medical Instrument and Pharmaceutical Technology, Fuzhou, China
  • [ 9 ] [Vasic, Zeljka Lucev]University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, Croatia
  • [ 10 ] [Cifrek, Mario]University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, Croatia

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Year: 2022

Page: 120-122

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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