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Comparing Posturographic Time Series Through Events Detection
Cita
Lara Torralbo, Juan Alfonso, Moreno, Guillermo, Pérez Pérez, Aurora 
ORCID: https://orcid.org/0000-0001-6495-3474, López-Illescas, África and Caraça-Valente Hernández, Juan Pedro
(2008).
Comparing Posturographic Time Series Through Events Detection.
En: "21st IEEE International Symposium on Computer-Based Medical Systems", 17/06/2008-19/06/2008, Jyvaskyla, Finlandia. ISBN 978-0-7695-3165-6.
ORCID: https://orcid.org/0000-0001-6495-3474, López-Illescas, África and Caraça-Valente Hernández, Juan Pedro
(2008).
Comparing Posturographic Time Series Through Events Detection.
En: "21st IEEE International Symposium on Computer-Based Medical Systems", 17/06/2008-19/06/2008, Jyvaskyla, Finlandia. ISBN 978-0-7695-3165-6.
Descripción
| Título: | Comparing Posturographic Time Series Through Events Detection |
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| Autor/es: |
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| Tipo de Documento: | Ponencia en Congreso o Jornada (Artículo) |
| Título del Evento: | 21st IEEE International Symposium on Computer-Based Medical Systems |
| Fechas del Evento: | 17/06/2008-19/06/2008 |
| Lugar del Evento: | Jyvaskyla, Finlandia |
| Título del Libro: | Proceedings of 21st IEEE International Symposium on Computer-Based Medical Systems |
| Fecha: | 2008 |
| ISBN: | 978-0-7695-3165-6 |
| Materias: | |
| ODS: | |
| Escuela: | Facultad de Informática (UPM) [antigua denominación] |
| Departamento: | Lenguajes y Sistemas Informáticos e Ingeniería del Software |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
Resumen
The comparison of two time series and the extraction of subsequences that are common to the two is a complex data mining problem. Many existing techniques, like the Discrete Fourier Transform (DFT), offer solutions for comparing two whole time series. Often, however, the important thing is to analyse certain regions, known as events, rather than the whole times series. This applies to domains like the stock market, seismography or medicine. In this paper, we propose a method for comparing two time series by analysing the events present in the two. The proposed method is applied to time series generated by stabilometric and posture graphic systems within a branch of medicine studying balance-related function sin human beings.
Más información
| ID de Registro: | 4081 |
|---|---|
| Identificador DC: | https://oa.upm.es/4081/ |
| Identificador OAI: | oai:oa.upm.es:4081 |
| URL Oficial: | http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumbe... |
| Depositado por: | Memoria Investigacion |
| Depositado el: | 10 Sep 2010 10:22 |
| Ultima Modificación: | 20 Abr 2016 13:26 |
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