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Low-energy Defibrillation Research Using a Rabbit Ventricular Model: Optimizing the Potential Gradient Distribution Using Multiple Epicardial Electrodes  会议论文  

  • 编号:
    99597c28-c8a7-4169-8e80-b67a7dac1271
  • 作者:
    Wang, Jianfei; Jin, Lian; Wu, Xiaomei; Song, Biao; Qian, Li; Wang, Weiqi
  • 作者单位:
    [Wang, Jianfei; Jin, Lian; Wu, Xiaomei; Song, Biao; Qian, Li; Wang, Weiqi] Fudan Univ, Dept Elect Engn, Shanghai 200433, Peoples R China; [Wu, Xiaomei] Fudan Univ, Key Lab Med Imaging Comp & Comp Assisted Interven, Shanghai 200433, Peoples R China; [Wu, Xiaomei] Shanghai Engn Res Ctr Assist Devices, Shanghai 200433, Peoples R China
  • 会议名称:
    2016 38TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)
  • 出版信息:
    2016 年 (2753 - 2756)
  • 摘要:

    Cardiac potential gradient distribution directly affects defibrillation efficacy, and the electrode configuration that ensures optimal distribution is yet to be determined. In this study, a rabbit ventricular finite element conductor model containing blood perfusion in ventricular cavities was developed. The electric field was solved on the model by using 95% myocardial volume potential gradient higher than 5 V/cm as the successful defibrillation threshold (DFT). Multiple epicardial electrodes (MEE) protocols and a SCAN protocol were used to identify the optimum defibrillation method. Results showed that when using the SCAN protocol, DFT energy reduced to 4.3% that of the control group which had the traditional implantable cardioverter defibrillator current path. Rapidly switching scanning stimuli generated using MEE pairs is a promising low-energy defibrillation method. For multiple electrodes defibrillation, the distribution of the electrode pairs determine the defibrillation efficacy, and the counteraction effect has negative effect on defibrillation. These findings can provide suggestions for clinical applications.

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