A Real-Time Framework for a DEVS-based MigrainePrediction Simulator System

Abstract

The migraine disease is one of the most disabling neurological diseases that negatively impacts on the quality of life and on the cost of the public health services. The prediction of a migraine symptomatic event through monitorization of hemodynamic variables has been previously demonstrated in our previous works. In this paper, a first approach for the development of a simulator for a real time migraine prediction system is shown. The simulator has been implemented using a formal description language and validated using Grammatical Evolutionary models. The results encourage to develop real time techniques to trigger accurate alarms and real time repairing techniques of disrupted signals. All these problems will be faced in our future work by HW/SW co-simulation and including Hardware In the Loop components, in order to simulate failures in sensors or trigger alarms.