Zobrazeno 1 - 10
of 22
pro vyhledávání: '"M., Hernán Díaz"'
Publikováno v:
In Procedia Computer Science 2018 139:456-463
Autor:
M., Hernán Díaz, Maureira, Fernando, Flores, Gonzalo, Fuentes, Ignacio, García, Fernando, Maertens, Pablo, Muñoz, Sergio, Parra, Felipe, Cordova, Felisa
Publikováno v:
In Procedia Computer Science 2018 139:473-480
Publikováno v:
In Procedia Computer Science 2018 139:570-577
Publikováno v:
ITQM
Individuality has to do with our differences and similitudes, our phenotype and genotype characteristics that make us unique in some ways, and common in others. In this study we applied linear and non-linear quantitative description of the EEG signal
Autor:
Fernando Maureira Cid, Jaime Otárola, M Hernán Díaz, Lucio Cañete, Oscar Alarcón, Roberto Rojas
Publikováno v:
ITQM
The study presents a frequency domain, instead of a relative power intensity comparison framework domain, that evaluates the degree of anxiety and stress brain network activated in high beta oscillation (22-30 Hz), during a resting, EC basal conditio
Autor:
Felisa M. Córdova, M Hernán Díaz, Fernando Cifuentes, Fernando Maureira Cid, Elízabeth Flores
Publikováno v:
ITQM
We constructed the idea of oscillatory chaos in the brain during the process to use a non-linear estimator that allows us to have a more global, emergent and integrated view of the brain dynamics in its unpredictable realm of quasi-chaos forces. Thro
Publikováno v:
ITQM
The basal states defined by the closed (EC) and open (EC) eyes conditions are revisited using linear and nonlinear analysis approaches. We compared EO and EC control states using standard Spearman R correlation between pairs of EEG electrodes. We als
Autor:
Fernando Maureira, Felisa M. Córdova, Gonzalo Flores, C Sergio Muñoz, M Hernán Díaz, Ignacio Fuentes, Fernando García, Pablo Maertens, Felipe Parra
Publikováno v:
ITQM
In this work we explored the use of linear and nonlinear, statistical approaches to studying basal EEG brain activity. To do this, we used the Moving Correlation Coefficient (MCC), and the Hurst exponent estimator to visualize short and long term EEG
Publikováno v:
ITQM
The objective of the present study was to explore the degree of synchrony manifested by the fluctuation of the order/chaos oscillation between different areas of the brain (frontal, temporal and occipital). We made this exploration during the executi
Publikováno v:
ITQM
We obtained and compared linear and nonlinear estimation of synchronicity and internal organization of a set of electroencephalographic (EEG) time series recorded during the realization of cognitive tasks. Linear estimation consisted of the assessmen