2019 Fiscal Year Annual Research Report
Computer modeling of cardiac conduction system with nonlinear oscillators
| Project/Area Number |
17K00411
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| Research Institution | The University of Aizu |
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Principal Investigator |
Maxim・V Ryzhii 会津大学, コンピュータ理工学部, 上級准教授 (50254082)
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| Project Period (FY) |
2017-04-01 – 2020-03-31
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| Keywords | Heart model / computer modeling / cardiac / conduction system / nonlinear equation / dual pathway |
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| Outline of Annual Research Achievements |
1. We tested our heterogeneous oscillator model of atrioventricular node with respect to dual pathway physiology in order to optimize the model parameters. We compared three model variants with different number of pathway node elements represented by nonlinear Aliev-Panfilov equations. The results demonstrated that all considered model variants were able to reproduce normal cardiac signals conduction, AV node reentry, automaticity (pacemaking) and filtering function.
2. We investigated the effect of different sinusoidal AC signals on the atrioventricular node function during atrial fibrillation. We utilized our nonlinear MATLAB/Simulink model incorporating dual pathway physiology based on nonlinear differential equations. The results demonstrate that, depending on amplitude and frequency, external AC signals can noticeably change the atrioventricular node performance. We obtained cancelled conduction, changed conduction propagation direction between fast and slow pathways, accompanied by fluctuations of action potential shapes and conduction velocity.
3. A model of nonlinear oscillator based on our modification of quiescent excitable Aliev-Panfilov model was proposed. We performed preliminary simulations to determine the oscillator properties as a natural pacemaker. The oscillator model promises to be better alternative to the modified Van der Pol nonlinear oscillator used by us in our dual pathway model so far. Additional study on the oscillating Aliev-Panfilov model should be performed to justify its utilization as a subsidiary pacemaker in the dual pathway model.
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