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author:

Xu, Pan (Xu, Pan.) [1] | Culjak, Ivana (Culjak, Ivana.) [2] | Roglic, Matija (Roglic, Matija.) [3] | Klaic, Luka (Klaic, Luka.) [4] | Gao, Yueming (Gao, Yueming.) [5] (Scholars:高跃明) | Vasic, Zeljka Lucev (Vasic, Zeljka Lucev.) [6]

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Abstract:

With the change of modern lifestyle, the number of people living a sedentary life is increasing, which can lead to sustained tension in the low back muscles, which in turn can cause lumbar muscle strain and even low back pain. Measuring low back muscle fatigue in real time could help prevent and rehabilitate low back pain and improve the health of sedentary individuals. In this paper we aim to estimate muscle fatigue of low back muscles in vivo using electrical impedance myography (EIM). EIM measurements were performed using a proprietary impedance measuring device and the commercial ImpTMSFB7 human body composition analyzer. Impedances measured with both devices showed correlation greater than 0.99 and a linear decreasing trend with duration of fatigue contraction. The impedance of the lumbar muscles measured at the end of the experiment when fatigue occurred (240 s) was 16±2 Ω lower than the impedance measured at the beginning of the experiment (0 s). The measured resistance decreased by approximately 13 % and the reactance increased by approximately 8.5 % during low back muscle contraction, indicating a sufficient sensitivity of the muscle impedance graph in detecting low back muscle fatigue. These results contribute to the research of EIM assessment of low back muscle fatigue and provide valuable guidance for additional research. © 2023 IEEE.

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  • [ 1 ] [Xu, Pan]Fuzhou University, College of Physics and Information Engineering, Fuzhou; 350108, China
  • [ 2 ] [Xu, Pan]Fuzhou University, The International Joint Laboratory on Health Intelligent Monitoring Systems, Fuzhou; 350108, China
  • [ 3 ] [Culjak, Ivana]University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb; 10000, Croatia
  • [ 4 ] [Roglic, Matija]University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb; 10000, Croatia
  • [ 5 ] [Klaic, Luka]University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb; 10000, Croatia
  • [ 6 ] [Gao, Yueming]Fuzhou University, College of Physics and Information Engineering, Fuzhou; 350108, China
  • [ 7 ] [Gao, Yueming]Fuzhou University, The International Joint Laboratory on Health Intelligent Monitoring Systems, Fuzhou; 350108, China
  • [ 8 ] [Vasic, Zeljka Lucev]University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb; 10000, Croatia

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Year: 2023

Language: English

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ESI Highly Cited Papers on the List: 0 Unfold All

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30 Days PV: 2

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