TY - JOUR
T1 - Clasificación de señales encefalográficas mediante redes neuronales artificiales
AU - Sepúlveda Cruz, Roberto
AU - Montiel Ross, Oscar Humberto
AU - Díaz, Gerardo
AU - Gutierrez, Daniel
AU - Castillo López, Oscar
PY - 2015/1/1
Y1 - 2015/1/1
N2 - For the signal classification of eye blinking and muscular pain in the right arm caused by an external agent, two models of artificial neural network architectures are proposed, specifically, the perceptron multilayer and an adaptive neurofuzzy inference system. Both models use supervised learning. The ocular and electroencephalographic time-series of 15 people in the range of 23 to 25 years of age are used to generate a data base which was divided into two sets: a training set and a test set. Experimental results in the time and frequency domain of 50 tests applied to each model show that both neural network architecture proposals for classification produce successful results.
AB - For the signal classification of eye blinking and muscular pain in the right arm caused by an external agent, two models of artificial neural network architectures are proposed, specifically, the perceptron multilayer and an adaptive neurofuzzy inference system. Both models use supervised learning. The ocular and electroencephalographic time-series of 15 people in the range of 23 to 25 years of age are used to generate a data base which was divided into two sets: a training set and a test set. Experimental results in the time and frequency domain of 50 tests applied to each model show that both neural network architecture proposals for classification produce successful results.
KW - Artificial neural network
KW - BCI
KW - Blink
KW - Brain-computer interface
KW - EEG
KW - FFT
UR - http://www.scopus.com/inward/record.url?scp=84927596903&partnerID=8YFLogxK
U2 - 10.13053/CyS-19-1-1570
DO - 10.13053/CyS-19-1-1570
M3 - Artículo
SN - 1405-5546
VL - 19
SP - 69
EP - 88
JO - Computacion y Sistemas
JF - Computacion y Sistemas
IS - 1
ER -