Open AccessMethodology for pattern determination in electroencephalographic signals
Author(s) -
José Jaime Esqueda-Elizondo,
Diego Armando Trujillo-Toledo,
Marco Antonio Pinto-Ramos,
Roberto Alejandro Reyes-Martínez
Publication year - 2019
Publication title -
revista de investigación y desarrollo
Language(s) - English
Resource type - Journals
ISSN - 2444-4987
DOI - 10.35429/jrd.2019.16.5.21.27
Subject(s) - brain–computer interface , computer science , electroencephalography , signal (programming language) , channel (broadcasting) , interface (matter) , wavelet , pattern recognition (psychology) , signal processing , artificial intelligence , speech recognition , digital signal processing , computer hardware , neuroscience , telecommunications , psychology , bubble , maximum bubble pressure method , parallel computing , programming language
A methodology for the selection and determination of electroencephalographic (EEG) signal patterns is presented at the case study level, which can later be used as on-off control signals in other applications. Electroencephalographic signals are acquired through the use of a brain-computer interface (BCI). These systems capture electrical signals from the cortex of the brain and transfer them to a computer so that they can be analyzed by algorithms and some action is taken. In this case, the EEG signals are acquired through the wireless 14-channel Epoc+ platform. The methodology used consists first in acquiring signals from the user sample in three scenarios: in relaxation, thinking about turning on and off. Subsequently, the wavelet transform of each of the channels is obtained for each of the cases and the most significant coefficients are taken into account. Then, through digital signal processing algorithms, descriptive parameters are obtained for the on and off cases, which are used as patterns to describe each of the actions. With this information, a comparison between the incoming signals and the previously stored patterns is made to execute one of the established commands.