Javier Mauricio Antelis

Orcid: 0000-0003-3377-0813

According to our database1, Javier Mauricio Antelis authored at least 35 papers between 2009 and 2023.

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Bibliography

2023
EEG-Based Classification of Spoken Words Using Machine Learning Approaches.
Comput., November, 2023

2022
Decoding EEG rhythms offline and online during motor imagery for standing and sitting based on a brain-computer interface.
Frontiers Neuroinformatics, 2022

A Fast EMG-Based Algorithm for Upper-Limb Motion Intention Detection by Using Levant's Differentiators.
IEEE Access, 2022

Brain-Computer Interface Controlled Functional Electrical Stimulation: Evaluation With Healthy Subjects and Spinal Cord Injury Patients.
IEEE Access, 2022

Detection of Pain Caused by a Thermal Stimulus Using EEG and Machine Learning.
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.
Sensors, 2021

Deep Learning for Gravitational-Wave Data Analysis: A Resampling White-Box Approach.
Sensors, 2021

2020
Single-Option P300-BCI Performance Is Affected by Visual Stimulation Conditions.
Sensors, 2020

Spiking Neural Networks applied to the classification of motor tasks in EEG signals.
Neural Networks, 2020

Anticipatory Detection of Self-Paced Rehabilitative Movements in the Same Upper Limb From EEG Signals.
IEEE Access, 2020

2019
Enabling real-time multi-messenger astrophysics discoveries with deep learning.
CoRR, 2019

Decoding Steady-State Visual Evoked Potentials From EEG Signals: Towards an EEG-Triggered FES System to Restore Hand Grasp Function.
Proceedings of the 10th IEEE Annual Ubiquitous Computing, 2019

Self-paced movement intention recognition from EEG signals during upper limb robot-assisted rehabilitation.
Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019

Using Morphological-Linear Neural Network for Upper Limb Movement Intention Recognition from EEG Signals.
Proceedings of the Pattern Recognition - 11th Mexican Conference, 2019

Motor Imagery Task Classification in EEG Signals with Spiking Neural Network.
Proceedings of the Pattern Recognition - 11th Mexican Conference, 2019

Dendrite Ellipsoidal Neuron Trained by Stochastic Gradient Descent for Motor Imagery Classification.
Proceedings of the Pattern Recognition - 11th Mexican Conference, 2019

2018
EEG-Based Detection of Braking Intention Under Different Car Driving Conditions.
Frontiers Neuroinformatics, 2018

Dendrite morphological neural networks for motor task recognition from electroencephalographic signals.
Biomed. Signal Process. Control., 2018

Recognizing Motor Imagery Tasks Using Deep Multi-Layer Perceptrons.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2018

Artificial Neural Networks and Common Spatial Patterns for the Recognition of Motor Information from EEG Signals.
Proceedings of the Advances in Soft Computing, 2018

A Comparison of Deep Neural Network Algorithms for Recognition of EEG Motor Imagery Signals.
Proceedings of the Pattern Recognition - 10th Mexican Conference, 2018

Discrimination Between Normal Driving and Braking Intention from Driver's Brain Signals.
Proceedings of the Bioinformatics and Biomedical Engineering, 2018

2017
Decoding Upper Limb Movement Attempt From EEG Measurements of the Contralesional Motor Cortex in Chronic Stroke Patients.
IEEE Trans. Biomed. Eng., 2017

Assessment of feature selection and classification methods for recognizing motor imagery tasks from electroencephalographic signals.
Artif. Intell. Res., 2017

Self-organizing Maps for Motor Tasks Recognition from Electrical Brain Signals.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2017

2016
Detecting the Intention to Move Upper Limbs from Electroencephalographic Brain Signals.
Comput. Math. Methods Medicine, 2016

Classification of Motor States from Brain Rhythms Using Lattice Neural Networks.
Proceedings of the Pattern Recognition - 8th Mexican Conference, 2016

2015
Classification of Hand Movements from Non-invasive Brain Signals Using Lattice Neural Networks with Dendritic Processing.
Proceedings of the Pattern Recognition - 7th Mexican Conference, 2015

2012
A Telepresence Mobile Robot Controlled With a Noninvasive Brain-Computer Interface.
IEEE Trans. Syst. Man Cybern. Part B, 2012

Continuous decoding of motor attempt and motor imagery from EEG activity in spinal cord injury patients.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Continuous decoding of intention to move from contralesional hemisphere brain oscillations in severely affected chronic stroke patients.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Detection of movements with attention or distraction to the motor task during robot-assisted passive movements of the upper limb.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2009
A Noninvasive Brain-Actuated Wheelchair Based on a P300 Neurophysiological Protocol and Automated Navigation.
IEEE Trans. Robotics, 2009

Synchronous EEG brain-actuated wheelchair with automated navigation.
Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009

Human brain-teleoperated robot between remote places.
Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009


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