Two Different Approaches of Feature Extraction for Classifying the EEG Signals

Jahankhani, Pari; Lara Torralbo, Juan Alfonso; Pérez Pérez, Aurora y Caraça-Valente Hernández, Juan Pedro (2011). Two Different Approaches of Feature Extraction for Classifying the EEG Signals. En: "12th International Conference on Engineering Applications of Neural Networks, EANN 2011, and the 7th IFIP WG 12.5 International Conference, AIAI 2011", 15/09/2010 - 18/09/2010, Corfu, Grecia. ISBN 978-3-642-23956-4. pp. 229-239. https://doi.org/10.1007/978-3-642-23957-1.

Descripción

Título: Two Different Approaches of Feature Extraction for Classifying the EEG Signals
Autor/es:
  • Jahankhani, Pari
  • Lara Torralbo, Juan Alfonso
  • Pérez Pérez, Aurora
  • Caraça-Valente Hernández, Juan Pedro
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: 12th International Conference on Engineering Applications of Neural Networks, EANN 2011, and the 7th IFIP WG 12.5 International Conference, AIAI 2011
Fechas del Evento: 15/09/2010 - 18/09/2010
Lugar del Evento: Corfu, Grecia
Título del Libro: Proceedings of the 12th International Conference on Engineering Applications of Neural Networks, EANN 2011, and the 7th IFIP WG 12.5 International Conference, AIAI 2011
Fecha: 2011
ISBN: 978-3-642-23956-4
Materias:
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

Texto completo

[img]
Vista Previa
PDF (Document Portable Format) - Se necesita un visor de ficheros PDF, como GSview, Xpdf o Adobe Acrobat Reader
Descargar (536kB) | Vista Previa

Resumen

The focus of this chapter is to study feature extraction and pattern classification methods from two medical areas, Stabilometry and Electroencephalography (EEG). Stabilometry is the branch of medicine responsible for examining balance in human beings. Balance and dizziness disorders are probably two of the most common illnesses that physicians have to deal with. In Stabilometry, the key nuggets of information in a time series signal are concentrated within definite time periods are known as events. In this chapter, two feature extraction schemes have been developed to identify and characterise the events in Stabilometry and EEG signals. Based on these extracted features, an Adaptive Fuzzy Inference Neural network has been applied for classification of Stabilometry and EEG signals.

Más información

ID de Registro: 11540
Identificador DC: http://oa.upm.es/11540/
Identificador OAI: oai:oa.upm.es:11540
Identificador DOI: 10.1007/978-3-642-23957-1
URL Oficial: http://rd.springer.com/book/10.1007/978-3-642-23957-1/page/1
Depositado por: Memoria Investigacion
Depositado el: 23 Jul 2012 10:45
Ultima Modificación: 20 Abr 2016 19:35
  • Open Access
  • Open Access
  • Sherpa-Romeo
    Compruebe si la revista anglosajona en la que ha publicado un artículo permite también su publicación en abierto.
  • Dulcinea
    Compruebe si la revista española en la que ha publicado un artículo permite también su publicación en abierto.
  • Recolecta
  • e-ciencia
  • Observatorio I+D+i UPM
  • OpenCourseWare UPM