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author:

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

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EI

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 article, 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. © 2007-2012 IEEE.

Keyword:

Circuit simulation Continuous time systems Equivalent circuits Frequency domain analysis Heart Pacemakers Phantoms Time domain analysis Time varying networks Timing circuits

Community:

  • [ 1 ] [Wei, Ziliang]Fuzhou University, College of Physical and Information Engineering, Fuzhou; 350108, China
  • [ 2 ] [Wei, Ziliang]Fuzhou University, International Joint Laboratory on Health Intelligent Monitoring Systems, Fuzhou; 350108, China
  • [ 3 ] [Wang, Han]Fuzhou University, College of Physical and Information Engineering, Fuzhou; 350108, China
  • [ 4 ] [Wang, Han]Fuzhou University, International Joint Laboratory on Health Intelligent Monitoring Systems, Fuzhou; 350108, China
  • [ 5 ] [Li, Dongming]University of Macau, State Key Laboratory of Analog and Mixed-Signal VLSI, Taipa; 999078, China
  • [ 6 ] [Vai, Mang I]University of Macau, State Key Laboratory of Analog and Mixed-Signal VLSI, Taipa; 999078, China
  • [ 7 ] [Pun, Sio Hang]University of Macau, State Key Laboratory of Analog and Mixed-Signal VLSI, Taipa; 999078, China
  • [ 8 ] [Yang, Jiejie]Fuzhou University, College of Physical and Information Engineering, Fuzhou; 350108, China
  • [ 9 ] [Yang, Jiejie]Fuzhou University, International Joint Laboratory on Health Intelligent Monitoring Systems, Fuzhou; 350108, China
  • [ 10 ] [Du, Min]Fuzhou University, College of Physical and Information Engineering, Fuzhou; 350108, China
  • [ 11 ] [Du, Min]Fuzhou University, International Joint Laboratory on Health Intelligent Monitoring Systems, Fuzhou; 350108, China
  • [ 12 ] [Gao, Yueming]Fuzhou University, College of Physical and Information Engineering, Fuzhou; 350108, China
  • [ 13 ] [Gao, Yueming]Fuzhou University, International Joint Laboratory on Health Intelligent Monitoring Systems, Fuzhou; 350108, China

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Source :

IEEE Transactions on Biomedical Circuits and Systems

ISSN: 1932-4545

Year: 2024

Issue: 4

Volume: 18

Page: 872-884

3 . 8 0 0

JCR@2023

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ESI Highly Cited Papers on the List: 0 Unfold All

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30 Days PV: 0

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