Classification of hand movements from non-invasive brain signals using lattice neural networks with dendritic processing

Leonardo Ojeda, Roberto Vega, Luis Eduardo Falcon, Gildardo Sanchez-Ante, Humberto Sossa, Javier M. Antelis

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9 Citas (Scopus)

Resumen

EEG-based BCIs rely on classification methods to recognize the brain patterns that encode user’s intention. However, decoding accuracies have reached a plateau and therefore novel classification techniques should be evaluated. This paper proposes the use of Lattice Neural Networks with Dendritic Processing (LNND) for the classification of hand movements from electroencephalographic (EEG) signals. The performance of this technique was evaluated and compared with classical classifiers using EEG signals recorded form participants performing motor tasks. The result showed that LNND provides: (i) the higher decoding accuracies in experiments using one electrode (DA = 80% and DA = 80% for classification of motor execution and motor imagery, respectively); (ii) distributions of decoding accuracies significantly different and higher than the chance level (p < 0.05, Wilcoxon signed-rank test) in experiments using one, two, four and six electrodes. These results shows that LNND could be a powerful technique for the recognition of motor tasks in BCIs.

Idioma originalInglés
Título de la publicación alojadaPattern Recognition-7th Mexican Conference, MCPR 2015, Proceedings
EditoresJosé Arturo Olvera López, Jesús Ariel Carrasco-Ochoa, José Francisco Martínez-Trinidad, Fazel Famili, Juan Humberto Sossa-Azuela
EditorialSpringer Verlag
Páginas23-32
Número de páginas10
ISBN (versión digital)9783319192635
DOI
EstadoPublicada - 2015
Evento7th Mexican Conference on Pattern Recognition, MCPR 2015 - Mexico City, México
Duración: 24 jun. 201527 jun. 2015

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen9116
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia7th Mexican Conference on Pattern Recognition, MCPR 2015
País/TerritorioMéxico
CiudadMexico City
Período24/06/1527/06/15

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