A Novel Ergodic Cellular Automaton Asthma Model: Reproductions of Nonlinear Dynamics of Asthma and Efficient FPGA Implementation

A novel hardware-efficient ergodic cellular automaton asthma model is proposed. It is shown that the proposed model can reproduce typical nonlinear phenomena and typical differentiation mechanisms of a conventional delayed ordinary differential equation asthma model. In addition, the proposed model is implemented by a field programmable gate array and its operation is verified by experiments. It is then shown that the proposed model can be implemented by much fewer circuit elements and consumes much lower power compared to the conventional asthma model. Furthermore, it is discussed that the results of this paper will contribute to the development of hardware-efficient immune system simulators for personalized drug discovery and medicine.