Memorias de investigación
Ponencias en congresos:
Two Different Approaches of Feature Extraction for Classifying the EEG Signals
Año:2011
Áreas de investigación
  • Ciencias de la computación y tecnología informática
Datos
Descripción
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.
Internacional
Si
Nombre congreso
12th INNS EANN-SIG International Conference (EANN 2011) and 7th IFIP WG 12.5 International Conference (AIAI 2011)
Tipo de participación
960
Lugar del congreso
Corfu, Grecia
Revisores
Si
ISBN o ISSN
1868-4238
DOI
10.1007/978-3-642-23957-1
Fecha inicio congreso
15/09/2010
Fecha fin congreso
18/09/2010
Desde la página
229
Hasta la página
239
Título de las actas
Engineering Application of Neural Networks, in IFIP Advances in Information and Communication Technology
Esta actividad pertenece a memorias de investigación
Participantes
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