Symbol Extraction Method and Symbolic Distance for Analysing Medical Time Series

Alonso Amo, Fernando and Martínez Normand, Loïc and Pérez Pérez, Aurora and Santamaría Falcón, Agustín and Caraça-Valente Hernández, Juan Pedro (2006). Symbol Extraction Method and Symbolic Distance for Analysing Medical Time Series. "Lecture Notes in Computer Science", v. 4345 ; pp. 311-322. ISSN 0302-9743. https://doi.org/10.1007/11946465_28.

Description

Title: Symbol Extraction Method and Symbolic Distance for Analysing Medical Time Series
Author/s:
  • Alonso Amo, Fernando
  • Martínez Normand, Loïc
  • Pérez Pérez, Aurora
  • Santamaría Falcón, Agustín
  • Caraça-Valente Hernández, Juan Pedro
Item Type: Article
Título de Revista/Publicación: Lecture Notes in Computer Science
Date: January 2006
ISSN: 0302-9743
Volume: 4345
Subjects:
Freetext Keywords: Time series characterization, isokinetics, symbolic distance, information extraction and text mining.
Faculty: E.U. de Informática (UPM)
Department: Lenguajes y Sistemas Informáticos e Ingeniería del Software
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

The analysis of time series databases is very important in the area of medicine. Most of the approaches that address this problem are based on numerical algorithms that calculate distances, clusters, index trees, etc. However, a symbolic rather than numerical analysis is sometimes needed to search for the characteristics of the time series. Symbolic information helps users to efficiently analyse and compare time series in the same or in a similar way as a domain expert would. This paper focuses on the process of transforming numerical time series into a symbolic domain and on the definition of both this domain and a distance for comparing symbolic temporal sequences. The work is applied to the isokinetics domain within an application called I4.

More information

Item ID: 8734
DC Identifier: http://oa.upm.es/8734/
OAI Identifier: oai:oa.upm.es:8734
DOI: 10.1007/11946465_28
Official URL: http://www.springerlink.com/content/b078614853816ug7/
Deposited by: Memoria Investigacion
Deposited on: 30 Sep 2011 11:34
Last Modified: 20 Apr 2016 17:25
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