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Memorias de investigación
Ponencias en congresos:
An optimal approach for Low-Power migraine prediction models in the State-of-the-Art wireless monitoring devices
Año:2017
Áreas de investigación
  • Tecnología electrónica y de las comunicaciones,
  • Ciencias de la computación y tecnología informática
Datos
Descripción
Wearable monitoring devices for ubiquitous health care are becoming a reality that has to deal with limited battery autonomy. Several researchers focus their efforts in reducing the energy consumption of these motes: from efficient micro-architectures, to on-node data processing techniques. In this paper we focus in the optimization of the energy consumption of monitoring devices for the prediction of symptomatic events in chronic diseases in real time. To do this, we have developed an optimization methodology that incorporates information of several sources of energy consumption: the running code for prediction, and the sensors for data acquisition. As a result of our methodology, we are able to improve the energy consumption of the computing process up to 90% with a minimal impact on accuracy. The proposed optimization methodology can be applied to any prediction modeling scheme to introduce the concept of energy efficiency. In this work we test the framework using Grammatical Evolutionary algorithms in the prediction of chronic migraines.
Internacional
Si
Nombre congreso
2017 Design, Automation & Test in Europe Conference & Exhibition (DATE)
Tipo de participación
960
Lugar del congreso
Lausanne, Switzerland
Revisores
Si
ISBN o ISSN
978-3-9815370-8-6
DOI
10.23919/DATE.2017.7927193
Fecha inicio congreso
27/03/2017
Fecha fin congreso
31/03/2018
Desde la página
1297
Hasta la página
1302
Título de las actas
2017 Design, Automation & Test in Europe Conference & Exhibition (DATE)
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Josue Pagan Ortiz (UPM)
  • Autor: Ramin Fallahzadeh (EPSL, Washington State University)
  • Autor: Hassan Ghasemzadeh (EPSL, Washington State University)
  • Autor: Jose Manuel Moya Fernandez (UPM)
  • Autor: José L. Risco-Martín (DACYA, Complutense University of Madrid)
  • Autor: José L. Ayala (DACYA, Complutense University of Madrid)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Laboratorio de Sistemas Integrados (LSI)
  • Centro o Instituto I+D+i: Centro de Investigación en Simulación Computacional
  • Departamento: Ingeniería Electrónica
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