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Memorias de investigación
Artículos en revistas:
A general framework for time series data mining based on event analysis: Application to the medical domains of electroencephalography and stabilometry
Año:2014
Áreas de investigación
  • Ciencias de la computación y tecnología informática
Datos
Descripción
There are now domains where information is recorded over a period of time, leading to sequences of data known as time series. In many domains, like medicine, time series analysis requires to focus on certain regions of interest, known as events, rather than analyzing the whole time series. In this paper, we propose a framework for knowledge discovery in both one-dimensional and multidimensional time series containing events. We show how our approach can be used to classify medical time series by means of a process that identifies events in time series, generates time series reference models of representative events and compares two time series by analyzing the events they have in common. We have applied our framework on time series generated in the areas of electroencephalography (EEG) and stabilometry. Framework performance was evaluated in terms of classification accuracy, and the results confirmed that the proposed schema has potential for classifying EEG and stabilometric signals. The proposed framework is useful for discovering knowledge from medical time series containing events, such as stabilometric and electroencephalographic time series. These results would be equally applicable to other medical domains generating iconographic time series, such as, for example, electrocardiography (ECG).
Internacional
Si
JCR del ISI
Si
Título de la revista
Journal of Biomedical Informatics
ISSN
1532-0464
Factor de impacto JCR
2,482
Información de impacto
Volumen
51
DOI
10.1016/j.jbi.2014.06.003
Número de revista
Desde la página
219
Hasta la página
241
Mes
OCTUBRE
Ranking
17/102
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Juan Pedro Caraca-Valente Hernandez (UPM)
  • Autor: Aurora Perez Perez (UPM)
  • Autor: David Lizcano (UDIMA)
  • Autor: Juan Antonio Lara (UDIMA)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Investigación en Tecnología Informática y de las Comunicaciones: CETTICO
  • Departamento: Lenguajes y Sistemas Informáticos e Ingeniería de Software
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