Álvaro Costa-García

Orcid: 0000-0003-0097-2793

Affiliations:
  • RIKEN, Intelligent Behaviour Control Unit, Nagoya, Japan
  • BSI-TOYOTA Collaboration Center, Nagoya Science Park Research, Nagoya, China
  • Miguel Hernández University, Brain-Machine Interface Systems Lab, Elche, Spain


According to our database1, Álvaro Costa-García authored at least 27 papers between 2014 and 2024.

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

Timeline

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Bibliography

2024
Cognitive Process during Palpation and Basic Concept of Remote Palpation System.
CoRR, 2024

Characterization of sEMG Spectral Properties During Lower Limb Muscle Activation.
Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024

2022
What is the role of the next generation of cognitive robotics?
Adv. Robotics, 2022

Current Trends and Challenges towards the Digital Health Era.
Proceedings of the International IEEE Conference on Advanced Robotics and Its Social Impactsm, 2022

2021
Editorial: Neuromechanical Biomarkers in Robot-Assisted Motor Rehabilitation.
Frontiers Neurorobotics, 2021

2020
Segmentation and Averaging of sEMG Muscle Activations Prior to Synergy Extraction.
IEEE Robotics Autom. Lett., 2020

Self-Support Biofeedback Training for Recovery From Motor Impairment After Stroke.
IEEE Access, 2020

2019
Theoretical approach for designing the rehabilitation robot controller.
Adv. Robotics, 2019

Quantification of Extent of Muscle-skin Shifting by Traversal sEMG Analysis Using High-density sEMG Sensor.
Proceedings of the 2019 IEEE International Conference on Cyborg and Bionic Systems, 2019

2018
A Novel Approach to the Segmentation of sEMG Data Based on the Activation and Deactivation of Muscle Synergies During Movement.
IEEE Robotics Autom. Lett., 2018

Grasp-training Robot to Activate Neural Control Loop for Reflex and Experimental Verification.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017
Importance of muscle selection for EMG signal analysis during upper limb rehabilitation of stroke patients.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016
Analyzing electrode configurations to detect intention of pedaling initiation through EEG signals.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Detection of intention of pedaling start cycle through EEG signals.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015
SVM-based Brain-Machine Interface for controlling a robot arm through four mental tasks.
Neurocomputing, 2015

Joint Stiffness Tuning of Exoskeleton Robot H2 by Tacit Learning.
Proceedings of the Symbiotic Interaction - 4th International Workshop, 2015

Studying Cognitive Attention Mechanisms during Walking from EEG Signals.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

Changes in brain activity due to the sudden apparition of an obstacle during gait.
Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015

Experimental architecture for synchronized recordings of cerebral, muscular and biomechanical data during lower limb activities.
Proceedings of the 23rd Mediterranean Conference on Control and Automation, 2015

Single joint movement decoding from EEG in healthy and incomplete spinal cord injured subjects.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Starting and finishing gait detection using a BMI for spinal cord injury rehabilitation.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

2014
Evaluating Classifiers to Detect Arm Movement Intention from EEG Signals.
Sensors, 2014

First steps in the development of an EEG-based system to detect intention of gait initiation.
Proceedings of the IEEE International Systems Conference, 2014

Brain-Machine Interface system to differentiate between five mental tasks.
Proceedings of the IEEE International Systems Conference, 2014

Decoding knee angles from EEG signals for different walking speeds.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Selection of the best mental tasks for a SVM-based BCI system.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Preliminary Study to Detect Gait Initiation Intention Through a BCI System.
Proceedings of the 2nd International Congress on Neurotechnology, 2014


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