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author:

Wang, J.N. (Wang, J.N..) [1] | Zhou, H.Y. (Zhou, H.Y..) [2] | Gao, Y.M. (Gao, Y.M..) [3] | Yang, J.J. (Yang, J.J..) [4] | Lučev, Vasić, Ž. (Lučev, Vasić, Ž..) [5] | Cifrek, M. (Cifrek, M..) [6] | Du, M. (Du, M..) [7]

Indexed by:

Scopus

Abstract:

Electrical Impedance Myography (EIM) based on the four-electrode method is a novel method for assessing muscle state in the fields of sports, fitness, and medical rehabilitation. However, commonly used configuration of electrodes is not suitable for the wearable field, because of its large total area and low sensitivity. An optimized electrode configuration for wearable application is proposed as Mode B. Equivalent circuit model B of the four-electrode method is established by using the equivalent circuit of biological tissues, and in-vivo measurements of the electrical impedance of the biceps muscle are carried out on six volunteers using bioimpedance spectroscopy device ImpTM SFB7. The experimental results show that equivalent circuit model B of the four-electrode method is reliable. Moreover, the variation in muscle electrical impedance measured using the optimal configuration of model B is twice that measured using the optimal configuration of model A. The optimized electrode configuration of EIM based on this approach is model B (i.e. square electrodes in parallel array; size, 20 mm × 20 mm; spacing, 5–24 mm). © 2020, © 2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

Keyword:

Electrical impedance myography (EIM); equivalent circuit model; four-electrode method; optimizing electrode configuration

Community:

  • [ 1 ] [Wang, J.N.]College of Physics and Information Engineering, Fuzhou University, Fuzhou, China
  • [ 2 ] [Wang, J.N.]Key Lab of Medical Instrumentation & Pharmaceutical Technology of Fujian Province, Fuzhou, China
  • [ 3 ] [Zhou, H.Y.]College of Physics and Information Engineering, Fuzhou University, Fuzhou, China
  • [ 4 ] [Zhou, H.Y.]Key Lab of Medical Instrumentation & Pharmaceutical Technology of Fujian Province, Fuzhou, China
  • [ 5 ] [Gao, Y.M.]College of Physics and Information Engineering, Fuzhou University, Fuzhou, China
  • [ 6 ] [Gao, Y.M.]Key Lab of Medical Instrumentation & Pharmaceutical Technology of Fujian Province, Fuzhou, China
  • [ 7 ] [Yang, J.J.]College of Physics and Information Engineering, Fuzhou University, Fuzhou, China
  • [ 8 ] [Lučev Vasić, Ž.]Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia
  • [ 9 ] [Cifrek, M.]Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia
  • [ 10 ] [Du, M.]College of Physics and Information Engineering, Fuzhou University, Fuzhou, China
  • [ 11 ] [Du, M.]Key Lab of Eco-Industrial Green Technology of Fujian Province, Wuyi University, Nanping, China

Reprint 's Address:

  • [Gao, Y.M.]College of Physics and Information Engineering, Fuzhou University, Key Lab of Medical Instrumentation & Pharmaceutical Technology of Fujian Province, Xueyuan Road No. 2, China

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Source :

Automatika

ISSN: 0005-1144

Year: 2020

Issue: 3

Volume: 61

Page: 475-481

1 . 1 5 6

JCR@2020

1 . 7 0 0

JCR@2023

ESI HC Threshold:132

JCR Journal Grade:4

CAS Journal Grade:4

Cited Count:

WoS CC Cited Count: 0

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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