System and method for digital modeling of cardiac cell membrane electrophysiology

WO2026110144A9PCT designated stage Publication Date: 2026-07-02AIBODY IO LTD +1
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Patent Information

Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
AIBODY IO LTD
Filing Date
2025-11-19
Publication Date
2026-07-02

AI Technical Summary

Technical Problem

Existing cardiac cell membrane models, while highly accurate, require high-performance computing resources and are complex, limiting accessibility for real-time interactive simulations and intuitive understanding of ion concentration changes in action potentials.

Method used

A computationally efficient system and method for digital modeling of cardiac cell membranes using a dielectric lipid bilayer model with capacitor and resistor elements, simulating ion channel dynamics and calculating membrane potential with the Goldman-Hodgkin-Katz equation, integrated with a graphical user interface for interactive parameter modification and visualization.

Benefits of technology

Enables interactive and accessible simulations of cardiac action potentials without high-performance computing, providing clear visualization of ion channel states and phases, suitable for educational and training purposes.

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Abstract

A computational system and method for digital modeling of cardiac cell membrane electrophysiology is disclosed. The system generates a digital model representing the cell membrane as a dielectric lipid bilayer comprising a capacitor element and a resistor element, where the resistor element is emulated by a plurality of ion channels. The system calculates cell membrane potential based on intracellular and extracellular concentrations of key ions, such as Na+, K+, Ca2+, and Cl-, using the Goldman-Hodgkin-Katz equation. Generation of cellular membrane action potentials is simulated by modeling the opening and closing of voltage-gated ion channels in response to triggering events. The model provides dynamic visualizations of the distinct phases of the action potential, including depolarization and repolarization, offering a high-fidelity tool for research and for enhancing the realism of training simulations in electrophysiology procedures.
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