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author:

Wei, Ziliang (Wei, Ziliang.) [1] | Wen, Yangrong (Wen, Yangrong.) [2] | Gao, Yueming (Gao, Yueming.) [3] | Yang, Mingjing (Yang, Mingjing.) [4] | Yang, Jiejie (Yang, Jiejie.) [5] | Pun, Sio Hang (Pun, Sio Hang.) [6] | Vai, Mang I. (Vai, Mang I..) [7] | Du, Min (Du, Min.) [8]

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EI

Abstract:

Intrabody communication (IBC) can achieve better power efficiency and higher levels of security than other traditional wireless communication technologies. Currently, the majority of research on the body channel characteristics of galvanic coupling IBC are motionless and have only been evaluated in the frequency domain. Given the long measuring times of traditional methods, the access to dynamic variations and the simultaneous evaluation of the time-frequency domain remains a challenge for dynamic body channels such as the cardiac channel. To address this chal-lenge, we proposed a parallel measurement methodology with a multi-tone strategy and a time-parameter processing approach to obtain a time-frequency evaluation for dynamic body channels. A group search algorithm has been performed to optimize the crest factor of multitone excitation in the time domain. To validate the proposed methods, in vivo experiments, with both dynamic and motionless conditions were measured using the traditional method and the proposed method. The results indicate that the proposed method is more time efficient (= 1 ms) with a consistent performance (> 98%). Most importantly, it is capable of capturing dynamic variations in the body channel and provides a more comprehensive evaluation and richer information for the study of IBC. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.

Keyword:

Frequency domain analysis Time domain analysis

Community:

  • [ 1 ] [Wei, Ziliang]College of Physics and Information Engineering, Fuzhou University, Fuzhou; 350108, China
  • [ 2 ] [Wei, Ziliang]Key Lab of Medical Instrumentation & Pharmaceutical Technology of Fujian Province, Fuzhou; 350108, China
  • [ 3 ] [Wen, Yangrong]College of Physics and Information Engineering, Fuzhou University, Fuzhou; 350108, China
  • [ 4 ] [Wen, Yangrong]Key Lab of Medical Instrumentation & Pharmaceutical Technology of Fujian Province, Fuzhou; 350108, China
  • [ 5 ] [Gao, Yueming]College of Physics and Information Engineering, Fuzhou University, Fuzhou; 350108, China
  • [ 6 ] [Gao, Yueming]Key Lab of Medical Instrumentation & Pharmaceutical Technology of Fujian Province, Fuzhou; 350108, China
  • [ 7 ] [Yang, Mingjing]College of Physics and Information Engineering, Fuzhou University, Fuzhou; 350108, China
  • [ 8 ] [Yang, Jiejie]College of Physics and Information Engineering, Fuzhou University, Fuzhou; 350108, China
  • [ 9 ] [Yang, Jiejie]Key Lab of Medical Instrumentation & Pharmaceutical Technology of Fujian Province, Fuzhou; 350108, China
  • [ 10 ] [Pun, Sio Hang]State Key Laboratory of Analog and Mixed-Signal VLSI, University of Macau, Macau; 999078, China
  • [ 11 ] [Vai, Mang I.]State Key Laboratory of Analog and Mixed-Signal VLSI, University of Macau, Macau; 999078, China
  • [ 12 ] [Vai, Mang I.]Department of Electrical and Computer Engineering, Faculty of Science and Technology, University of Macau, Macau; 999078, China
  • [ 13 ] [Du, Min]College of Physics and Information Engineering, Fuzhou University, Fuzhou; 350108, China
  • [ 14 ] [Du, Min]Key Lab of Medical Instrumentation & Pharmaceutical Technology of Fujian Province, Fuzhou; 350108, China

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Source :

Sensors (Switzerland)

ISSN: 1424-8220

Year: 2021

Issue: 2

Volume: 21

Page: 1-13

3 . 0 3 1

JCR@2018

CAS Journal Grade:3

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: 0

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