Advanced migraine prediction simulation system

Pagán Ortiz, Josué and Moya Fernández, José Manuel and Mittal, Saurabh and Ayala Rodrigo, José Luis (2017). Advanced migraine prediction simulation system. In: "Summer Simulation Multi-Conference (SummerSim '17)", 09/07/2017 - 12/07/2017, Bellevue, Washington. pp. 179-190.

Description

Title: Advanced migraine prediction simulation system
Author/s:
  • Pagán Ortiz, Josué
  • Moya Fernández, José Manuel
  • Mittal, Saurabh
  • Ayala Rodrigo, José Luis
Item Type: Presentation at Congress or Conference (Article)
Event Title: Summer Simulation Multi-Conference (SummerSim '17)
Event Dates: 09/07/2017 - 12/07/2017
Event Location: Bellevue, Washington
Title of Book: Summer Simulation Multi-Conference (SummerSim '17)
Date: 2017
Subjects:
Freetext Keywords: Migraine prediction, failure detector, robust system
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Ingeniería Electrónica
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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 ambulatorymonitoring 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.

Funding Projects

TypeCodeAcronymLeaderTitle
Government of SpainPI15/01976UnspecifiedUnspecifiedMonitorización ambulatoria no invasiva de variables biométricas y biofísicas y como método para la predicción de una crisis de migraña
Government of SpainTIN 2015-65277-RCOPHERNICOUnspecifiedEfficient heterogeneous computing: from the processor to the datacenter
Government of SpainTEC2012-33892UnspecifiedUnspecifiedTecnologías HW/SW para la eficiencia energética en sistemas de computación distribuidos

More information

Item ID: 50031
DC Identifier: http://oa.upm.es/50031/
OAI Identifier: oai:oa.upm.es:50031
Official URL: https://dl.acm.org/citation.cfm?id=3140089
Deposited by: Memoria Investigacion
Deposited on: 26 Sep 2018 15:01
Last Modified: 26 Sep 2018 15:01
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