HDL Coder Implementation for Luo Rudy Phase 1 Excitation Modeling

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This paper presents the study of non-linear dynamic of cardiac excitation based on Luo Rudy Phase I (LR-I) model towards numerical solutions of ordinary differential equations (ODEs) responsible for cardiac excitation on FPGA. As computational modeling needs vast of simulation time, a real-time hardware implementation using FPGA could be the solution as it provides high configurability and performance. For rapid prototyping, the MATLAB Simulink offers a link with the FPGA which is an HDL Coder that capable to convert the MATLAB Simulink blocks into Very High Description Language (VHDL) and through an FPGA-in-the-loop, simulation for FPGA implementation can be done. Here, MATLAB Simulink successfully simulates the LR-I of excitation model for software simulations. Towards real-time simulation, the HDL Coder function will be used for the FPGA hardware implementation. Cardiac excitation controls the mechanical contractions of the cells through the cardiac excitation-contraction coupling mechanism and controlled by inflow and outflow of transmembrane currents through various types of ion channels. However, the abnormalities of cardiac excitation known as cardiac arrhythmias can occur and could lead to abnormal contraction of cardiac muscle and preventing the heart to pump blood efficiently and can cause fatal risk [1-3]. In the past few decades, the experimental studies are generally preferable [3]. Although this approach is more preferable but experimental studies have the limitations such as quantity of variables for monitoring need high-resolution data in investigating larger preparations and high cost. Meanwhile, modeling techniques for a computer simulation are not associated with such problems [3].Therefore, many electrical and... ... middle of paper ... ...Computer Model Study. Long Island Jewish Medical Centre, New York, United State of Aamerica, 341-343, 1995. [11] Yasunori O., Funahashi A., Shibata Y., Kitano H., and Amano H. An FPGA-based, Multi-model Simulation for Biochemical Systems. Japan. Proccedings of the 19th IEEE International Parallel and Distributed Processing Symposium, 1-4, 2005. [12] Alireza F., Trong T.D., Chedjou J.C., and Kyamakya K. New Computational Modeling for Solving Higher Order ODE based on FPGA. Alpen-Adria University of Klagenfurt, Austria, 1-5, 2012. [13] Huang C., Frank V., and Tony G. A Custom FPGA Processor for Physical Model Ordinary Differential Equation Solving, IEE Embedded System Letters, Vol. 3 No. 4, 1-4, Disember 2011. [14] Siwakoti P.Y., Graham E.T., Design of FPGA-controlled Power Electronics and Drives Using MATLAB Simulink, Macquarie University, Australia, 571- 577, 2013.

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