Cardiac excitation modeling: HDL coder optimization towards FPGA stand-alone implementation

Abstract

The aim of this paper is to discuss the optimization of the hardware description language (HDL) design using fixed-point optimization and speed optimization through a pipelining method. This optimization is very crucial to achieve the best performance in terms of speed, area and power consumption of the generated HDL code before deploying the field programmable gate array (FPGA) stand-alone implementation. As computational mathematical modeling needs immense amounts of simulation time, FPGA could bring the solutions as it provides high performance, and able to perform real-time simulations and compute in parallel mode operation. In this study, in order to ease verification, prototyping, and implementation FPGA, rapid prototyping model-based design approach of HDL Coder from MathWorks has been used to automate HDL codes generation from a designed MATLAB Simulink blocks of Luo-Rudy Phase I (LR-I) model towards FPGA hardware-implemented for numerical solutions of ordinary differential equations (ODEs) responsible in generating the action potential (AP) waveform of mammalian cardiac ventricle cell. By using HDL Coder, the model is successfully converted into an optimal fixed-point VHDL design and the operating frequency is increased from 9.819 MHz to 23. 613MHz by pipelining optimization.