Denis Delisle Rodríguez

Orcid: 0000-0002-8937-031X

According to our database1, Denis Delisle Rodríguez authored at least 34 papers between 2012 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Enhancing complex upper-limb motor imagery discrimination through an incremental training strategy.
Biomed. Signal Process. Control., 2025

2024
Decoding lower-limb kinematic parameters during pedaling tasks using deep learning approaches and EEG.
Medical Biol. Eng. Comput., December, 2024

Compressive sensing applied to SSVEP-based brain-computer interface in the cloud for online control of a virtual wheelchair.
Biomed. Signal Process. Control., 2024

Multitask Lower Limb Classification System for Dorsiflexion Rehabilitation by Using Electroencephalography and Functional Electrical Stimulation.
Proceedings of the International Conference on Control, Automation and Diagnosis, 2024

EEG-Based Multi-Class Classification for Recognizing Pedaling Velocities: A Promising Approach for Brain-Computer Interface-Enhanced Lower-Limb Robotic Rehabilitation.
Proceedings of the 10th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics, 2024

2023
Unraveling Transformative Effects after tDCS and BCI Intervention in Chronic Post-Stroke Patient Rehabilitation - An Alternative Treatment Design Study.
Sensors, December, 2023

Multi-channel EEG-based BCI using regression and classification methods for attention training by serious game.
Biomed. Signal Process. Control., August, 2023

Robust Motor Imagery Tasks Classification Approach Using Bayesian Neural Network.
Sensors, January, 2023

Towards a Gait Planning Training Strategy Using Lokomat.
Proceedings of the Synergetic Cooperation Between Robots and Humans - Proceedings of the CLAWAR 2023 Conference, 2023

2022
CCA-Based Compressive Sensing for SSVEP-Based Brain-Computer Interfaces to Command a Robotic Wheelchair.
IEEE Trans. Instrum. Meas., 2022

Towards Multimodal Equipment to Help in the Diagnosis of COVID-19 Using Machine Learning Algorithms.
Sensors, 2022

Evaluation of a proposal for sustained attention training through BCI with an estimate of effective connectivity.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

2021
Monte Carlo Dropout for Uncertainty Estimation and Motor Imagery Classification.
Sensors, 2021

Effect of a Brain-Computer Interface Based on Pedaling Motor Imagery on Cortical Excitability and Connectivity.
Sensors, 2021

Shallow Convolutional Network Excel for Classifying Motor Imagery EEG in BCI Applications.
IEEE Access, 2021

A Hybrid Brain-Computer Interface using Extreme Learning Machines for Motor Intention Detection.
Proceedings of the Progress in Artificial Intelligence and Pattern Recognition, 2021

Towards the Use of Artificial Intelligence Techniques in Biomedical Data from an Integrated Portable Medical Assistant to Infer Asymptomatic Cases of COVID-19.
Proceedings of the Information Technology and Systems, 2021

2020
Assessment of an Assistive Control Approach Applied in an Active Knee Orthosis Plus Walker for Post-Stroke Gait Rehabilitation.
Sensors, 2020

Trends in Compressive Sensing for EEG Signal Processing Applications.
Sensors, 2020

Assessment of high-frequency steady-state visual evoked potentials from below-the-hairline areas for a brain-computer interface based on Depth-of-Field.
Comput. Methods Programs Biomed., 2020

Towards an Effective Motor Imagery Based-BCI with Calibration Through Activation of Central and Peripheral Mechanisms of Lower-Limbs.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Enhancing Shoulder Pre-Movements Recognition Through EEG Riemannian Covariance Matrices For a BCI-based Exoskeleton.
Proceedings of the IEEE International Conference on Human-Machine Systems, 2020

Shoulder Flexion Pre-Movement Recognition Through Subject-Specific Brain Regions to Command an Upper Limb Exoskeleton.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019
Visual and Thermal Image Processing for Facial Specific Landmark Detection to Infer Emotions in a Child-Robot Interaction.
Sensors, 2019

Motor Imagery Classification with Covariance Matrices and Non-Negative Matrix Factorization.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Discrimination of Shoulder Flexion/Extension Motor Imagery Through EEG Spatial Features to Command an Upper Limb Robotic Exoskeleton.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2019

2018
Towards a Brain-Computer Interface Based on Unsupervised Methods to Command a Lower-Limb Robotic Exoskeleton.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

2017
Knee Impedance Modulation to Control an Active Orthosis Using Insole Sensors.
Sensors, 2017

Adaptive Spatial Filter Based on Similarity Indices to Preserve the Neural Information on EEG Signals during On-Line Processing.
Sensors, 2017

2015
Knee motion pattern classification from trunk muscle based on sEMG signals.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014
Adaptive BCI based on software agents.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013
Onset and Peak Pattern Recognition on Photoplethysmographic Signals Using Neural Networks.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2013

A Comparison of Myoelectric Pattern Recognition Methods to Control an Upper Limb Active Exoskeleton.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2013

2012
Algorithm for systolic peak detection of pulse wave.
Proceedings of the 2012 XXXVIII Conferencia Latinoamericana En Informatica (CLEI), 2012


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