Modelado y comportamiento de la simulación de propagación eléctrica durante la estimulación cerebral profunda

Autor: Pablo Alejandro Alvarado, Cristian Alejandro Torres Valencia, Álvaro Ángel Orozco Gutiérrez, Mauricio Alexander Álvarez López, Genaro Daza Santacoloma, Hans Carmona Vilada

Publikováno v: Dyna, Vol 83, Iss 198, Pp 49-58 (2016)

La Estimulación Cerebral Profunda (DBS) es un tratamiento efectivo para la enfermedad de Parkinson. Gran variedad de modelos matemáticos y computacionales para describir la propagación eléctrica debido a la DBS han sido propuestos, desafortunadam

Externí odkaz: https://doaj.org/article/5afd153e162146abacba44319eea59e7

A Discriminative Multi-Output Gaussian Processes Scheme for Brain Electrical Activity Analysis

Autor: David Cárdenas-Peña, Andrés Marino Álvarez-Meza, Cristian A. Torres-Valencia, Alvaro A. Orozco, Mauricio A. Álvarez

Publikováno v: Applied Sciences
Volume 10
Issue 19
Torres-Valencia, C, Orozco, Á, Cárdenas-Peña, D, Álvarez-Meza, A & Álvarez, M 2020, ' A discriminative multi-output gaussian processes scheme for brain electrical activity analysis ', Applied Sciences (Switzerland), vol. 10, no. 19, 6765, pp. 1-15 . https://doi.org/10.3390/app10196765
Applied Sciences, Vol 10, Iss 6765, p 6765 (2020)

The study of brain electrical activity (BEA) from different cognitive conditions has attracted a lot of interest in the last decade due to the high number of possible applications that could be generated from it. In this work, a discriminative framew

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::13477d259eac1de8246a6ebbd4761ee6

SVM-based feature selection methods for emotion recognition from multimodal data

Autor: Mauricio A. Álvarez-López, Cristian A. Torres-Valencia, Álvaro Orozco-Gutiérrez

Publikováno v: Journal on Multimodal User Interfaces. 11:9-23

Multimodal emotion recognition is an emerging field within affective computing that, by simultaneously using different physiological signals, looks for evaluating an emotional state. Physiological signals such as electroencephalogram (EEG), temperatu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7f8637f6a075bce504d6e42b30a63c45
https://doi.org/10.1007/s12193-016-0222-y

Emotion Assessment Based on Functional Connectivity Variability and Relevance Analysis

Autor: Álvaro Orozco-Gutiérrez, Cristian A. Torres-Valencia, Andrés Marino Álvarez-Meza

Publikováno v: Natural and Artificial Computation for Biomedicine and Neuroscience ISBN: 9783319597393
IWINAC (1)

The evaluation of emotional states has relevance in the development of systems that can automatically interact with human beings. The use of brain mapping techniques, e.g., electroencephalogram (EEG), improves the robustness of the emotion assessment

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3fbae6848ddc1b3f5abddb3bcc8e8515
https://doi.org/10.1007/978-3-319-59740-9_35

Kernel temporal enhancement approach for LORETA source reconstruction using EEG data

Autor: Cristian A. Torres-Valencia, M. Claudia Joana Santamaria, Mauricio A. Álvarez

Publikováno v: EMBC

Reconstruction of brain sources from magnetoencephalography and electroencephalography (M/EEG) data is a well known problem in the neuroengineering field. A inverse problem should be solved and several methods have been proposed. Low Resolution Elect

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a7203c2665f49748321d3c34d5434043
https://doi.org/10.1109/embc.2016.7591734