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author:

Xu, Pan (Xu, Pan.) [1] | Zhou, Junwei (Zhou, Junwei.) [2] | Chen, Zhizhang (Chen, Zhizhang.) [3] | Yang, Xudong (Yang, Xudong.) [4] | Yan, Hongli (Yan, Hongli.) [5] | Vasic, Zeljka Lucev (Vasic, Zeljka Lucev.) [6] | Cifrek, Mario (Cifrek, Mario.) [7] | Pun, Sio Hang (Pun, Sio Hang.) [8] | Vai, Mang, I (Vai, Mang, I.) [9] | Gao, Yueming (Gao, Yueming.) [10] (Scholars:高跃明)

Abstract:

ElectricalImpedance Myography (EIM) is an innovative, non-invasive technique offering a convenient means of localized exogenous electrophysiological recording. By measuring muscle impedance parameters, this method characterizes the physiological state of muscles, functioning as a biomarker for muscle contractility, injuries, and the progression of neuromuscular diseases. This paper provides an overview of the current state of EIM technology development, along with modeling and data analysis methods, focusing on their application requirements. It further highlights the advancements in EIM research within the realm of sports health, emphasizing its efficacy in identifying injuries and monitoring wound healing, and discusses existing technological limitations. Additionally, the paper explores future research directions. Serving as a transient biosensor during physical activity, EIM holds significant potential in sports health. It presents a promising alternative to invasive and costly clinical assessment methods, positioning itself as a viable personal monitoring tool for both professional athletes and fitness enthusiasts. Nevertheless, the resolution of technical challenges and the establishment of industry-standard implementation programs are essential prerequisites for EIM to evolve into a standard clinical assessment tool.

Keyword:

Clinical assessment tool electrical impedance myography electrophysiological recording muscle physiological state sports health

Community:

  • [ 1 ] [Xu, Pan]Fuzhou Univ, Coll Phys & Informat Engn, Fuzhou 350108, Peoples R China
  • [ 2 ] [Zhou, Junwei]Fuzhou Univ, Coll Phys & Informat Engn, Fuzhou 350108, Peoples R China
  • [ 3 ] [Gao, Yueming]Fuzhou Univ, Coll Phys & Informat Engn, Fuzhou 350108, Peoples R China
  • [ 4 ] [Chen, Zhizhang]Dalhousie Univ, Dept Elect & Comp Engn, Halifax, NS B3H 4R2, Canada
  • [ 5 ] [Yang, Xudong]Fuzhou Univ, Sch Adv Mfg, Fuzhou 350108, Peoples R China
  • [ 6 ] [Yan, Hongli]Sichuan Univ Sci & Engn, Sch Automat & Informat Engn, Yibin 644000, Peoples R China
  • [ 7 ] [Vasic, Zeljka Lucev]Univ Zagreb, Fac Elect Engn & Comp, Zagreb 10000, Croatia
  • [ 8 ] [Cifrek, Mario]Univ Zagreb, Fac Elect Engn & Comp, Zagreb 10000, Croatia
  • [ 9 ] [Pun, Sio Hang]Univ Macau, State Key Lab Analog & Mixed Signal VLSI IME & FST, Taipa 999078, Macao, Peoples R China
  • [ 10 ] [Pun, Sio Hang]Zhuhai UM Sci & Technol Res Inst Lingyange Semicon, Zhuhai 519031, Peoples R China
  • [ 11 ] [Vai, Mang, I]Zhuhai UM Sci & Technol Res Inst Lingyange Semicon, Zhuhai 519031, Peoples R China
  • [ 12 ] [Vai, Mang, I]Univ Macau, Fac Sci & Technol, Dept Elect & Comp Engn, State Key Lab Analog & Mixed Signal VLSI, Macau, Peoples R China

Reprint 's Address:

  • [Gao, Yueming]Fuzhou Univ, Coll Phys & Informat Engn, Fuzhou 350108, Peoples R China;;

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Source :

IEEE JOURNAL OF MICROWAVES

Year: 2024

Issue: 4

Volume: 4

Page: 605-625

6 . 9 0 0

JCR@2023

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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