@article{Rojas_Arzola_Vidal Robles_2020, title={Modified Oregonator: an Approach from the Complex Networks Theory}, volume={41}, url={http://rmib.mx/index.php/rmib/article/view/1034}, DOI={10.17488/RMIB.41.3.1}, abstractNote={<p style="text-align: justify;">Within the framework of Systems Biology, this paper proposes the complex network theory as a fundamental tool for determining the most critical dynamic variables in complex biochemical mechanisms. The Belousov-Zhabotinsky reaction is proposed as a study model and as a complex bipartite network. By determining the structural property <em>authority</em>, the most relevant dynamic variables are specified, and a mathematical model of the Belousov-Zhabotinsky reaction is obtained. The bidirectional coupling of the proposed model was made with other models associated with biological processes, finding synchronization phenomena when varying the coupling parameter. The time series obtained from the numerical solution of the coupled models were used to construct their images using the <em>Gramian Angular Field</em> technique. In the end, a supervised learning tool is proposed for the classification of the type of coupling by analyzing the images, obtaining score percentages above 94%. The hereby proposed methodology could be extended to the experimental field in order to determine anomalies in the coupling and synchronization of different physiological oscillators.</p>}, number={3}, journal={Revista Mexicana de Ingenieria Biomedica}, author={Rojas, José Fernando and Arzola, Jesús Andrés and Vidal Robles, Esmeralda}, year={2020}, month={Sep.}, pages={6–27} }