Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
A general framework for time series data mining based on event analysis: Application to the medical domains of electroencephalography and stabilometry
Year:2014
Research Areas
  • Information technology and adata processing
Information
Abstract
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).
International
Si
JCR
Si
Title
Journal of Biomedical Informatics
ISBN
1532-0464
Impact factor JCR
2,482
Impact info
Volume
51
10.1016/j.jbi.2014.06.003
Journal number
From page
219
To page
241
Month
OCTUBRE
Ranking
17/102
Participants
  • Autor: Juan Pedro Caraca-Valente Hernandez (UPM)
  • Autor: Aurora Perez Perez (UPM)
  • Autor: David Lizcano (UDIMA)
  • Autor: Juan Antonio Lara (UDIMA)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Investigación en Tecnología Informática y de las Comunicaciones: CETTICO
  • Departamento: Lenguajes y Sistemas Informáticos e Ingeniería de Software
S2i 2019 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)