Comparative study of robust methods for motor imagery classification based on CSP and LDA

" Common spatial patterns analysis and linear discriminant analysis are popular algorithms for spatial filtering and classifying in motor imagery. These algorithms are very sensitive to noise and artifacts which affect the classification accuracy. To deal with this issue, it is proposed to repl...

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Autor principal: Villar, Ana Julia
Formato: Ponencias en Congresos acceptedVersion
Lenguaje:Inglés
Publicado: 2019
Materias:
ANALISIS DISCRIMINANTE
SISTEMAS DE CONTROL
CLASIFICACION
BIOINGENIERIA
Acceso en línea:http://ri.itba.edu.ar/handle/123456789/1746
Aporte de:
Repositorio Institucional Instituto Tecnológico de Buenos Aires (ITBA) de Instituto Tecnológico de Buenos Aires (ITBA)
id I32-R138-123456789-1746
record_format dspace
spelling I32-R138-123456789-17462022-12-07T14:13:52Z Comparative study of robust methods for motor imagery classification based on CSP and LDA Villar, Ana Julia ANALISIS DISCRIMINANTE SISTEMAS DE CONTROL CLASIFICACION BIOINGENIERIA " Common spatial patterns analysis and linear discriminant analysis are popular algorithms for spatial filtering and classifying in motor imagery. These algorithms are very sensitive to noise and artifacts which affect the classification accuracy. To deal with this issue, it is proposed to replace the usual estimators of covariance and scale used in the algorithms for robust versions. The performance of the methods are evaluated and compared on EGG data from BCI competition data sets; results show that robust methods outperformed classical techniques for subjects with poor classification accuracy. " 2019-09-12T11:29:15Z 2019-09-12T11:29:15Z 2017-10 Ponencias en Congresos info:eu-repo/semantics/acceptedVersion 978-9811-04-085-6 http://ri.itba.edu.ar/handle/123456789/1746 en info:eu-repo/semantics/altIdentifier/doi/10.1007/978-981-10-4086-3_32 application/pdf
institution Instituto Tecnológico de Buenos Aires (ITBA)
institution_str I-32
repository_str R-138
collection Repositorio Institucional Instituto Tecnológico de Buenos Aires (ITBA)
language Inglés
topic ANALISIS DISCRIMINANTE
SISTEMAS DE CONTROL
CLASIFICACION
BIOINGENIERIA
spellingShingle ANALISIS DISCRIMINANTE
SISTEMAS DE CONTROL
CLASIFICACION
BIOINGENIERIA
Villar, Ana Julia
Comparative study of robust methods for motor imagery classification based on CSP and LDA
topic_facet ANALISIS DISCRIMINANTE
SISTEMAS DE CONTROL
CLASIFICACION
BIOINGENIERIA
description " Common spatial patterns analysis and linear discriminant analysis are popular algorithms for spatial filtering and classifying in motor imagery. These algorithms are very sensitive to noise and artifacts which affect the classification accuracy. To deal with this issue, it is proposed to replace the usual estimators of covariance and scale used in the algorithms for robust versions. The performance of the methods are evaluated and compared on EGG data from BCI competition data sets; results show that robust methods outperformed classical techniques for subjects with poor classification accuracy. "
format Ponencias en Congresos
acceptedVersion
author Villar, Ana Julia
author_facet Villar, Ana Julia
author_sort Villar, Ana Julia
title Comparative study of robust methods for motor imagery classification based on CSP and LDA
title_short Comparative study of robust methods for motor imagery classification based on CSP and LDA
title_full Comparative study of robust methods for motor imagery classification based on CSP and LDA
title_fullStr Comparative study of robust methods for motor imagery classification based on CSP and LDA
title_full_unstemmed Comparative study of robust methods for motor imagery classification based on CSP and LDA
title_sort comparative study of robust methods for motor imagery classification based on csp and lda
publishDate 2019
url http://ri.itba.edu.ar/handle/123456789/1746
work_keys_str_mv AT villaranajulia comparativestudyofrobustmethodsformotorimageryclassificationbasedoncspandlda
_version_ 1765660815739846656

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