Mario Ortíz

Orcid: 0000-0002-4269-1554

Affiliations:
  • Miguel Hernández University of Elche, Spain


According to our database1, Mario Ortíz authored at least 33 papers between 2017 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2023
Design and Evaluation of a Potential Non-Invasive Neurostimulation Strategy for Treating Persistent Anosmia in Post-COVID-19 Patients.
Sensors, July, 2023

Analysis of Different Stimulus for Evoking the ErrP Potential in a MI-BMI for Starting the Gait with a Lower-Limb Exoskeleton.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Analysis of Error Potentials generated by a lower limb exoskeleton feedback in a BMI for gait control.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Transfer Learning with CNN Models for Brain-Machine Interfaces to command lower-limb exoskeletons: A Solution for Limited Data.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022
Adapting EEG based MI-BMI depending on alertness level for controlling a lower-limb exoskeleton.
Proceedings of the IEEE International Conference on Metrology for Extended Reality, 2022

Decoding Lower-Limbs Kinematics from EEG Signals While Walking with an Exoskeleton.
Proceedings of the Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications, 2022

Inter-session Transfer Learning in MI Based BCI for Controlling a Lower-Limb Exoskeleton.
Proceedings of the Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence, 2022

Riemannian classification analysis for model EEG intention speed patterns.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Assessing user experience with BMI-assisted exoskeleton in patients with spinal cord injury.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021
Brain Symmetry Analysis during the Use of a BCI Based on Motor Imagery for the Control of a Lower-Limb Exoskeleton.
Symmetry, 2021

Lessons Learned From Clinical Trials of a Neurorehabilitation Therapy Based on tDCS, BMI, and Pedaling Systems.
IEEE Syst. J., 2021

Detection of the Intention of Direction Changes During Gait Through EEG Signals.
Int. J. Neural Syst., 2021

Assessing Footwear Comfort by Electroencephalography Analysis.
IEEE Access, 2021

Improving Motor Imagery of Gait on a Brain-Computer Interface by Means of Virtual Reality: A Case of Study.
IEEE Access, 2021

Frequency band selection for a lower-limb MI BCI to control a treadmill.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Analysis of frequency bands and channels configuration for detecting intention of change speed through EEG.
Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 2021

BCI based on lower-limb motor imagery and a state machine for walking on a treadmill.
Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 2021

2020
Transitioning From Face-to-Face to Blended and Full Online Learning Engineering Master's Program.
IEEE Trans. Educ., 2020

Study of the Functional Brain Connectivity and Lower-Limb Motor Imagery Performance After Transcranial Direct Current Stimulation.
Int. J. Neural Syst., 2020

Analysis of the EEG Rhythms Based on the Empirical Mode Decomposition During Motor Imagery When Using a Lower-Limb Exoskeleton. A Case Study.
Frontiers Neurorobotics, 2020

Selection of Spatial, Temporal and Frequency Features to Detect Direction Changes During Gait.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Usability and acceptance of using a lower-limb exoskeleton controlled by a BMI in incomplete spinal cord injury patients: a case study.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019
Pseudo-Online BMI Based on EEG to Detect the Appearance of Sudden Obstacles during Walking.
Sensors, 2019

Assessment of motor imagery in gamma band using a lower limb exoskeleton.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

The Effect of tDCS on EEG-Based Functional Connectivity in Gait Motor Imagery.
Proceedings of the Understanding the Brain Function and Emotions, 2019

Effects of an Exoskeleton-Assisted Gait Motor Imagery Training in Functional Brain Connectivity.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
Effects of tDCS on Real-Time BCI Detection of Pedaling Motor Imagery.
Sensors, 2018

Novel tDCS montage favors lower limb motor imagery detection.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Comparison of different EEG signal analysis techniques for an offline lower limb motor imagery brain-computer interface.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017
Personalized Offline and Pseudo-Online BCI Models to Detect Pedaling Intent.
Frontiers Neuroinformatics, 2017

Empirical mode decomposition use in electroencephalography signal analysis for detection of starting and stopping intentions during gait cycle.
Proceedings of the 26th IEEE International Symposium on Robot and Human Interactive Communication, 2017

Using EEG Signals to Detect Different Surfaces While Walking.
Proceedings of the Biomedical Applications Based on Natural and Artificial Computing, 2017

Effect on the classification of motor imagery in EEG after applying anodal tDCS with a 4×1 ring montage over the motor cortex.
Proceedings of the International Conference on Rehabilitation Robotics, 2017


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