André Felipe Oliveira de Azevedo Dantas
Orcid: 0000-0002-4172-3913
According to our database1,
André Felipe Oliveira de Azevedo Dantas authored at least 15 papers
between 2015 and 2026.
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Bibliography
2026
Human-machine Interface using functional electrostimulation and inertial sensors for lower limb rehabilitation in spinal cord injury individuals: a proof of concept.
Medical Biol. Eng. Comput., March, 2026
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
A Gait Imagery-Based Brain-Computer Interface With Visual Feedback for Spinal Cord Injury Rehabilitation on Lokomat.
IEEE Trans. Biomed. Eng., January, 2025
Teaching Mu And Beta Modulation During Ankle-Foot Dorsiflexion Through Visual And Kinesthetic Neurofeedback-Based Motor Imagery Brain-Computer Interface.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025
2024
IoT-Based Wireless System for Gait Kinetics Monitoring in Multi-Device Therapeutic Interventions.
Sensors, September, 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
2023
Development and Validation of an IoT Neurostimulator for the Treatment of Neurogenic Bladder.
Sensors, November, 2023
Proceedings of the Synergetic Cooperation Between Robots and Humans - Proceedings of the CLAWAR 2023 Conference, 2023
2022
2021
Sensors, 2021
Comparison of Controller's Performance for a Knee Joint model based on Functional Electrical Stimulation Input.
Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 2021
2020
Design of reduced complexity controllers for linear systems under constraints using data cluster analysis.
Int. J. Syst. Sci., 2020
2019
J. Control. Sci. Eng., 2019
2018
J. Control. Sci. Eng., 2018
2015
A modified matricial PSO algorithm applied to system identification with convergence analysis.
PhD thesis, 2015