Omar Mendoza-Montoya

According to our database, Omar Mendoza-Montoya authored at least 10 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

EEG-Based Classification of Spoken Words Using Machine Learning Approaches.

Denise Alonso-Vázquez, Omar Mendoza-Montoya, Ricardo Caraza, Hector R. Martinez, Javier Mauricio Antelis

Comput., November, 2023

2022

Decoding EEG rhythms offline and online during motor imagery for standing and sitting based on a brain-computer interface.

Nayid Triana Guzmán, Alvaro D. Orjuela-Cañón, Andres L. Jutinico, Omar Mendoza-Montoya, Javier Mauricio Antelis

Frontiers Neuroinformatics, 2022

Brain-Computer Interface Controlled Functional Electrical Stimulation: Evaluation With Healthy Subjects and Spinal Cord Injury Patients.

Luis Guillermo Hernández-Rojas, Jessica Cantillo-Negrete, Omar Mendoza-Montoya, Ruben I. Carino-Escobar, Ismael Leyva-Martinez, Ana Valeria Aguirre Guemez, Aida Barrera-Ortiz, Paul Carrillo-Mora, Javier Mauricio Antelis

IEEE Access, 2022

Detection of Pain Caused by a Thermal Stimulus Using EEG and Machine Learning.

Rogelio Sotero Reyes-Galaviz, Omar Mendoza-Montoya, Javier Mauricio Antelis

Proceedings of the Pattern Recognition - 14th Mexican Conference, 2022

2021

Functional Connectivity and Frequency Power Alterations during P300 Task as a Result of Amyotrophic Lateral Sclerosis.

Claudia X. Perez-Ortiz, José Luis Gordillo, Omar Mendoza-Montoya, Javier Mauricio Antelis, Ricardo Caraza, Hector R. Martinez

Sensors, 2021

2020

Single-Option P300-BCI Performance Is Affected by Visual Stimulation Conditions.

Juan David Chailloux Peguero, Omar Mendoza-Montoya, Javier Mauricio Antelis

Sensors, 2020

Anticipatory Detection of Self-Paced Rehabilitative Movements in the Same Upper Limb From EEG Signals.

Luis Guillermo Hernández-Rojas, Omar Mendoza-Montoya, Javier Mauricio Antelis

IEEE Access, 2020

2019

Using Morphological-Linear Neural Network for Upper Limb Movement Intention Recognition from EEG Signals.

Gerardo Hernández, Luis G. Hernández, Erik Zamora, Humberto Sossa, Javier Mauricio Antelis, Omar Mendoza-Montoya, Luis Eduardo Falcón

Proceedings of the Pattern Recognition - 11th Mexican Conference, 2019

Dendrite Ellipsoidal Neuron Trained by Stochastic Gradient Descent for Motor Imagery Classification.

Fernando Arce, Omar Mendoza-Montoya, Erik Zamora, Javier Mauricio Antelis, Humberto Sossa, Jessica Cantillo-Negrete, Ruben I. Carino-Escobar, Luis G. Hernández, Luis Eduardo Falcón

Proceedings of the Pattern Recognition - 11th Mexican Conference, 2019

2018

Development of a Hybrid Brain-Computer Interface for Autonomous Systems.

Omar Mendoza-Montoya

PhD thesis, 2018