Descripción
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In the Internet of Things (IoT) era, there is growing interest in wireless monitoring sensors for detection,classification and prediction of health symptoms. The prediction of symptoms in chronic diseases suchas migraines brings new hope to improve patients? lives. The prediction of a migraine symptomatic eventthrough monitoring hemodynamic variables has been previously demonstrated in our earlier work. In thispaper, a simulation-based approach for a real-time migraine prediction system is described. The simulationhas been implemented using the specifications of the formal description language Discrete EVent Systems(DEVS). The simulation system is a proof of concept that is ready for testing in a real-world ambulatory monitoring environment. The results obtained encourage developing a hardware/software (HW/SW) co-simulation system that incorporates Hardware-in-the-Loop (HIL) components as prior step to the expensiveand slow hardware implementation of a complete migraine prediction device. When such a system is usedin a real-time setting, it can simulate failures in sensors and trigger alarms for active patient response. | |
Internacional
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Si |
Nombre congreso
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Summer Simulation Multi-Conference |
Tipo de participación
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960 |
Lugar del congreso
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Bellevue, WA, USA |
Revisores
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Si |
ISBN o ISSN
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1-56555-362-4 |
DOI
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Fecha inicio congreso
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09/07/2017 |
Fecha fin congreso
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12/07/2017 |
Desde la página
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179 |
Hasta la página
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190 |
Título de las actas
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2017 SummerSim Program Book |