Cristian David Guerrero-Méndez

Orcid: 0000-0003-1019-9423

According to our database1, Cristian David Guerrero-Méndez authored at least 10 papers between 2021 and 2025.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
EEG Neurofeedback-Based Gait Motor Imagery Training in Lokomat Enhances Motor Rhythms in Complete Spinal Cord Injury.
IEEE Trans. Hum. Mach. Syst., December, 2025

Markov chain-based computational model to assess user skills in sequential motor imagery tasks.
Comput. Biol. Medicine, 2025

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

Preliminary Investigation of Virtual Reality versus Non-Virtual Reality Visualization Impact on EEG-based Movement Identification for Future Prosthetic Control Applications.
Proceedings of the IEEE International Conference on Advanced Robotics, 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

Deep Learning Approach for EEG Classification in Lower-Limb Movement Phases: Towards Enhanced Brain-Computer Interface Control.
Proceedings of the 20th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, 2024

Exploring Novel Practical Approach to Post-Stroke Upper-Limb Neurorehabilitation Based on Complex Motor Imagery Tasks.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

2023
Decoding sEMG Under Non-Ideal Conditions Toward Robust Muscle-Machine Interface Control.
IROS, 2023

2021
Estimation of Limbs Angles Amplitudes During the Use of the Five Minute Shaper Device Using Artificial Neural Networks.
Proceedings of the Applied Computer Sciences in Engineering, 2021


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