Summary

2023

Session Number:A3L-3

Session:

Number:A3L-31

A Hardware-Based Asthma Simulator Based on Ergodic Cellular Automaton Dynamics

Yamamoto Isaki,  Torikai Hiroyuki,  

pp.120-121

Publication Date:2023-09-21

Online ISSN:2188-5079

DOI:10.34385/proc.76.A3L-31

PDF download (241.6KB)

Summary:
Lipopolysaccharides (LPS), which exist in the air and other environments, act as endotoxins and are known to induce three different immune responses: Th1, Th2, and Th17, depending on the amount of LPS ingested. If the immune balance between Th1 and Th2 cells is disrupted, with Th2 cells becoming excessive, allergy symptoms and asthma can occur. Th17 is also known to be involved in the development of severe asthma. In this study, we propose an ergodic cellular automaton asthma simulator for simulating a mathematical model that switches between the three Th phenotypes (Th1, Th2, and Th17) in response to various amounts of LPS. We also implemented the proposed model and an ordinary differential equation asthma model on an FPGA and made comparisons. The comparison results showed that the proposed model required fewer circuit components and reduced power consumption compared to the differential equation model.