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author:

Wei, Z. (Wei, Z..) [1] | Wang, H. (Wang, H..) [2] | Li, D. (Li, D..) [3] | Vai, M.I. (Vai, M.I..) [4] | Pun, S.H. (Pun, S.H..) [5] | Yang, J. (Yang, J..) [6] | Du, M. (Du, M..) [7] | Gao, Y. (Gao, Y..) [8] (Scholars:高跃明)

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Scopus

Abstract:

Intracardiac wireless communication is crucial for the development of multi-chamber leadless cardiac pacemakers (LCP). However, the time-varying characteristics of intracardiac channel pose major challenges. As such, mastering the dynamic conduction properties of the intracardiac channel and modeling the equivalent time-varying channel are imperative for realizing LCP multi-chamber pacing. In this paper, we present a limiting volume variational approach based on the electrical properties of cardiac tissues and trends in chamber volume variation. This approach was used to establish a quasi-static and a continuous time-varying equivalent circuit model of an intracardiac channel. An equivalence analysis was conducted on the model, and a discrete time-varying equivalent circuit phantom grounded on the cardiac cycle was subsequently established. Moreover, an ex vivo cardiac experimental platform was developed for verification. Results indicate that in the frequency domain, the congruence between phantom and ex vivo experimental outcomes is as high as 94.3%, affirming the reliability of the equivalent circuit model. In the time domain, the correlation is up to 75.3%, corroborating its effectiveness. The proposed time-varying equivalent circuit model exhibits stable and standardized dynamic attributes, serving as a powerful tool for addressing time-varying challenges and simplifying in vivo or ex vivo experiments. IEEE

Keyword:

Blood Equivalent circuits Frequency measurement Heart Integrated circuit modeling intracardiac circuit phantom intracardiac communication leadless pacemakers Myocardium Pacemakers time-varying equivalent model

Community:

  • [ 1 ] [Wei Z.]College of Physical and Information Engineering and the International Joint Laboratory on Health Intelligent Monitoring Systems, Fuzhou University, Fuzhou, Fujian, China
  • [ 2 ] [Wang H.]College of Physical and Information Engineering and the International Joint Laboratory on Health Intelligent Monitoring Systems, Fuzhou University, Fuzhou, Fujian, China
  • [ 3 ] [Li D.]State Key Laboratory of Analog and Mixed-Signal VLSI, University of Macau, Taipa, MO, China
  • [ 4 ] [Vai M.I.]State Key Laboratory of Analog and Mixed-Signal VLSI, University of Macau, Taipa, MO, China
  • [ 5 ] [Pun S.H.]State Key Laboratory of Analog and Mixed-Signal VLSI, University of Macau, Taipa, MO, China
  • [ 6 ] [Yang J.]College of Physical and Information Engineering and the International Joint Laboratory on Health Intelligent Monitoring Systems, Fuzhou University, Fuzhou, Fujian, China
  • [ 7 ] [Du M.]College of Physical and Information Engineering and the International Joint Laboratory on Health Intelligent Monitoring Systems, Fuzhou University, Fuzhou, Fujian, China
  • [ 8 ] [Gao Y.]College of Physical and Information Engineering and the International Joint Laboratory on Health Intelligent Monitoring Systems, Fuzhou University, Fuzhou, Fujian, China

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Source :

IEEE Transactions on Biomedical Circuits and Systems

ISSN: 1932-4545

Year: 2024

Issue: 4

Volume: 18

Page: 1-13

3 . 8 0 0

JCR@2023

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: 0

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