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Robust minimum information loss estimation
(Elsevier Science, 2013-09)
Two robust estimators of a matrix-valued location parameter are introduced and discussed. Each is the average of the members of a subsample–typically of covariance or cross-spectrum matrices–with the subsample chosen to ...
Deep gaussian processes and infinite neural networks for the analysis of EEG signals in Alzheimer's diseases
(Centro de Investigaciones en Matemática Pura y Aplicada (CIMPA) y Escuela de Matemática, San José, Costa Rica., 2022)
The electroencephalogram in a group of normal subjectsEl electroencefalograma en un grupo de sujetos normales
(Universidad Nacional Mayor de San Marcos, Facultad de Medicina Humana, 1956)
Affective recognition from EEG signals: an integrated data-mining approach
(Journal of Ambient Intelligence and Humanized Computing, 2018)
A methodological approach to quantify the cognitive effects in sensorial analysis of foodEnfoque metodológico para cuantificar los efectos cognitivos en el análisis sensorial de alimentos
(Laboratorio Tecnológico del Uruguay - LATU, 2016)
Deep Gaussian processes and infinite neural networks for the analysis of EEG signals in Alzheimer’s diseasesProcesos Gausianos profundos y redes neuronales infinitas para el análisis de señales EEG en la enfermedad de Alzheimer
(Universidad de Costa Rica, Centro de Investigación en Matemática Pura y Aplicada (CIMPA), 2022)
A system on chip based electroencephalogram acquisition system
(Sociedad Argentina de Bioingeniería, 2020)
La mayoría de las implementaciones actuales de interfaces cerebro computadora (BCI) consisten en una etapa de adquisición de biopotenciales y una PC, donde se realiza el procesamiento de las señales. Como estas han demostrado ...
Behavioral and Electrophysiological Correlates of Memory Binding Deficits in Patients at Different Risk Levels for Alzheimer's Disease
(IOS Press, 2016-05)
Deficits in visual short-term memory (VSTM) binding have been proposed as an early and specific marker for Alzheimer?s disease (AD). However, no studies have explored the neural correlates of this domain in clinical ...
Discriminating imagined and non-imagined tasks in the motor cortex area: entropy-complexity plane with a wavelet decomposition
(Elsevier Science, 2018-12)
Electroencephalograms reflect the electrical activity of the brain, which can be considered ruled by a chaotic nonlinear dynamics. We consider human electroencephalogram recordings during different motor type activities, ...