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José Luis Contreras-Vidal
José L. Contreras-Vidal
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2020 – today
- 2023
- [j16]Alexander Craik
, Juan José González-España
Design and Validation of a Low-Cost Mobile EEG-Based Brain-Computer Interface. Sensors 23(13): 5930 (2023) - [j15]Nikunj A. Bhagat
A State-Space Control Approach for Tracking Isometric Grip Force During BMI Enabled Neuromuscular Stimulation. IEEE Trans. Hum. Mach. Syst. 53(6): 996-1005 (2023) - [c54]Laura Ferrero, Vicente Quiles, Paula Soriano-Segura, Mario Ortiz, Eduardo Iáñez, José Luis Contreras-Vidal, José Maria Azorín:
Transfer Learning with CNN Models for Brain-Machine Interfaces to command lower-limb exoskeletons: A Solution for Limited Data. EMBC 2023: 1-4 - [c53]Juan José González-España, Lianne Sánchez Rodríguez, Alexander Craik, Sarah Wong, Jeff Feng, José Luis Contreras-Vidal:
Brain-eNet: Towards an Enabling Technology for BCI-IoT Systems. SMC 2023: 3073-3078 - [c52]Juan José González-España, Alexander Craik, Carolina Ramirez, Ayman Alamir, José Luis Contreras-Vidal:
Optimization of Electrode Configuration for the Removal of Eye Artifacts with Adaptive Noise Cancellation. SMC 2023: 3259-3264 - [c51]Juan José González-España, Ki-Joon Back, Dennis Reynolds, José Luis Contreras-Vidal:
Decoding Taste from EEG: Gustatory Evoked Potentials During Wine Tasting. SMC 2023: 4253-4258 - [d5]Alexander G. Steele, Amir Faraji, José L. Contreras-Vidal:
The dataset for the Electrospinography (ESG) for non-invasively recording spinal sensorimotor networks in humans project. IEEE DataPort, 2023 - 2022
- [j14]Anton Nijholt
Editorial: Brain-Computer Interfaces for Non-clinical (Home, Sports, Art, Entertainment, Education, Well-Being) Applications. Frontiers Comput. Sci. 4: 860619 (2022) - [d4]Mauricio Adolfo Ramírez-Moreno
Mobile EEG recordings of musical (jazz) improvisation. IEEE DataPort, 2022 - 2021
- [j13]David Eguren
Navigating the FDA Medical Device Regulatory Pathways for Pediatric Lower Limb Exoskeleton Devices. IEEE Syst. J. 15(2): 2361-2368 (2021) - [j12]Andrew Y. Paek
Concerns in the Blurred Divisions Between Medical and Consumer Neurotechnology. IEEE Syst. J. 15(2): 3069-3080 (2021) - [c50]Niell Gorman, Antoinette Louw, Alexander Craik, Jose Gonzalez, Jeff Feng
Design Principles for Mobile Brain-Body Imaging Devices with Optimized Ergonomics. AHFE (17) 2021: 3-10 - 2020
- [j11]Mario Ortíz
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 14: 48 (2020) - [c49]Andrew Y. Paek
Towards a Portable Magnetoencephalography Based Brain Computer Interface with Optically-Pumped Magnetometers. EMBC 2020: 3420-3423 - [c48]Akshay Sujatha Ravindran, Manuel Cestari, Christopher Malaya, Isaac John, Gerard E. Francisco, Charles Layne, José Luis Contreras-Vidal:
Interpretable Deep Learning Models for Single Trial Prediction of Balance Loss. SMC 2020: 268-273
2010 – 2019
- 2019
- [c47]Mohammad Badri Ahmadi, Alexander Craik, Hamid Fekri Azgomi, Joseph T. Francis, José Luis Contreras-Vidal, Rose T. Faghih:
Real-Time Seizure State Tracking Using Two Channels: A Mixed-Filter Approach. ACSSC 2019: 2033-2039 - [c46]Atilla Kilicarslan, José Luis Contreras-Vidal:
Towards a Unified Framework for De-noising Neural Signals. EMBC 2019: 620-623 - [c45]Alexander Craik, Atilla Kilicarslan, José Luis Contreras-Vidal:
Classification and Transfer Learning of EEG during a Kinesthetic Motor Imagery Task using Deep Convolutional Neural Networks. EMBC 2019: 3046-3049 - [c44]David Eguren, Manuel Cestari, Trieu Phat Luu, Atilla Kilicarslan, Alexander G. Steele
Design of a customizable, modular pediatric exoskeleton for rehabilitation and mobility. SMC 2019: 2411-2416 - [c43]Mario Ortíz
Assessment of motor imagery in gamma band using a lower limb exoskeleton. SMC 2019: 2773-2778 - [c42]Trieu Phat Luu, David Eguren, Manuel Cestari, José L. Contreras-Vidal:
EEG-based Neural Decoding of Gait in Developing Children. SMC 2019: 3608-3612 - [c41]Alexander Craik, Atilla Kilicarslan, José L. Contreras-Vidal:
A Translational Roadmap for a Brain-Machine-Interface (BMI) System for Rehabilitation. SMC 2019: 3613-3618 - [p2]Jesus G. Cruz-Garza
Your Brain on Art: A New Paradigm to Study Artistic Creativity Based on the 'Exquisite Corpse' Using Mobile Brain-Body Imaging. Brain Art 2019: 283-308 - [p1]Eric Todd, Jesus G. Cruz-Garza
Self-conscience/Physical Memory: An Immersive, Kinetic Art Installation Driven by Real-Time and Archival EEG Signals. Brain Art 2019: 309-323 - [d3]Jesus G. Cruz-Garza
Mobile EEG Recordings in an Art Museum Setting. IEEE DataPort, 2019 - 2018
- [d2]Akshay Sujatha Ravindran, Jesus G. Cruz-Garza
Multi-modal mobile brain-body imaging (MoBI) dataset for assaying neural and head movement responses associated with creative video game play in children. IEEE DataPort, 2018 - [d1]Jesús Tamez-Duque, Mayra De-Alba, Guillermo Herrera-Arcos, Fernanda Zapata-Murrieta, José L. Contreras-Vidal, Rogelio Soto:
Dataset: Modulation of Neural Activity during Guided Viewing of Visual Art. IEEE DataPort, 2018 - 2017
- [c40]José L. Contreras-Vidal
Towards a whole body brain-machine interface system for decoding expressive movement intent Challenges and Opportunities. BCI 2017: 1-4 - [c39]Trieu Phat Luu, Justin A. Brantley, Fangshi Zhu
Electrocortical amplitude modulations of human level-ground, slope, and stair walking. EMBC 2017: 1913-1916 - [c38]Jennifer L. Sullivan, Nikunj A. Bhagat
Improving robotic stroke rehabilitation by incorporating neural intent detection: Preliminary results from a clinical trial. ICORR 2017: 122-127 - [c37]Justin A. Brantley, Trieu Phat Luu, Sho Nakagame, José L. Contreras-Vidal:
Prediction of lower-limb joint kinematics from surface EMG during overground locomotion. SMC 2017: 1705-1709 - [c36]Trieu Phat Luu, Justin A. Brantley, Fangshi Zhu
Cortical features of locomotion-mode transitions via non-invasive EEG. SMC 2017: 2437-2441 - [c35]Trieu Phat Luu, Yongtian He
EEG-based brain-computer interface to a virtual walking avatar engages cortical adaptation. SMC 2017: 3054-3057 - [c34]Sho Nakagome, Trieu Phat Luu, Justin A. Brantley, José L. Contreras-Vidal:
Prediction of EMG envelopes of multiple terrains over-ground walking from EEG signals using an unscented Kalman filter. SMC 2017: 3175-3178 - 2016
- [c33]Trieu Phat Luu, Yongtian He
Unscented Kalman filter for neural decoding of human treadmill walking from non-invasive electroencephalography. EMBC 2016: 1548-1551 - [c32]Anna T. Winslow, Justin A. Brantley, Fangshi Zhu
Corticomuscular coherence variation throughout the gait cycle during overground walking and ramp ascent: A preliminary investigation. EMBC 2016: 4634-4637 - [c31]Justin A. Brantley, Trieu Phat Luu, Recep Ozdemir, Fangshi Zhu
Noninvasive EEG correlates of overground and stair walking. EMBC 2016: 5729-5732 - 2015
- [j10]José Luis Contreras-Vidal, Atilla Kilicarslan, He (Helen) Huang
Human-Centered Design of Wearable Neuroprostheses and Exoskeletons. AI Mag. 36(4): 12-22 (2015) - [j9]Jesús Tamez-Duque, Rebeca Cobian-Ugalde, Atilla Kilicarslan, Anusha Venkatakrishnan
Real-Time Strap Pressure Sensor System for Powered Exoskeletons. Sensors 15(2): 4550-4563 (2015) - [c30]Yongtian He
Classification of finger vibrotactile input using scalp EEG. EMBC 2015: 4717-4720 - [c29]Andrew Y. Paek
Predicting hand forces from scalp electroencephalography during isometric force production and object grasping. EMBC 2015: 7570-7573 - 2014
- [c28]Zachery R. Hernandez
Decoding of intentional actions from scalp electroencephalography (EEG) in freely-behaving infants. EMBC 2014: 2115-2118 - [c27]Yongtian He
An integrated neuro-robotic interface for stroke rehabilitation using the NASA X1 powered lower limb exoskeleton. EMBC 2014: 3985-3988 - [c26]Harshavardhan A. Agashe, José L. Contreras-Vidal
Observation-based training for neuroprosthetic control of grasping by amputees. EMBC 2014: 3989-3992 - [c25]Nikunj A. Bhagat
Detecting movement intent from scalp EEG in a novel upper limb robotic rehabilitation system for stroke. EMBC 2014: 4127-4130 - [c24]José L. Contreras-Vidal
Identifying engineering, clinical and patient's metrics for evaluating and quantifying performance of brain-machine interface (BMI) systems. SMC 2014: 1489-1492 - 2013
- [c23]José Luis Contreras-Vidal
NeuroRex: A clinical neural interface roadmap for EEG-based brain machine interfaces to a lower body robotic exoskeleton. EMBC 2013: 1579-1582 - [c22]M. Claros, Rogelio Soto, José de Jesús Rodríguez-Ortiz, C. Cantu, José L. Contreras-Vidal
Novel compliant actuator for wearable robotics applications. EMBC 2013: 2854-2857 - [c21]Harshavardhan A. Agashe, José L. Contreras-Vidal
Decoding the evolving grasping gesture from electroencephalographic (EEG) activity. EMBC 2013: 5590-5593 - [c20]Andrew Y. Paek
Reconstructing surface EMG from scalp EEG during myoelectric control of a closed looped prosthetic device. EMBC 2013: 5602-5605 - [c19]Atilla Kilicarslan, Saurabh Prasad, Robert G. Grossman, José L. Contreras-Vidal
High accuracy decoding of user intentions using EEG to control a lower-body exoskeleton. EMBC 2013: 5606-5609 - [c18]Thomas C. Bulea
Classification of stand-to-sit and sit-to-stand movement from low frequency EEG with locality preserving dimensionality reduction. EMBC 2013: 6341-6344 - [c17]Jeremy D. Brown
Understanding the role of haptic feedback in a teleoperated/prosthetic grasp and lift task. World Haptics 2013: 271-276 - [c16]Ryan Christiansen, José Luis Contreras-Vidal
Vibrotactile feedback of pose error enhances myoelectric control of a prosthetic hand. World Haptics 2013: 531-536 - 2012
- [c15]Hyuk Oh
Modeling of visuospatial perspectives processing and modulation of the fronto-parietal network activity during action imitation. EMBC 2012: 2551-2554 - [c14]Rodolphe J. Gentili, Hyuk Oh
Cortex inspired model for inverse kinematics computation for a humanoid robotic finger. EMBC 2012: 3052-3055 - 2011
- [c13]Hyuk Oh
Learning of spatial relationships between observed and imitated actions allows invariant inverse computation in the frontal mirror neuron system. EMBC 2011: 4183-4186 - [c12]José L. Contreras-Vidal
Design principles for noninvasive brain-machine interfaces. EMBC 2011: 4223-4226 - [c11]Alessandro Presacco, Larry Forrester, José L. Contreras-Vidal
Towards a non-invasive brain-machine interface system to restore gait function in humans. EMBC 2011: 4588-4591 - [c10]Harshavardhan A. Agashe, José Luis Contreras-Vidal
Reconstructing hand kinematics during reach to grasp movements from electroencephalographic signals. EMBC 2011: 5444-5447 - [c9]Anusha Venkatakrishnan
Independent component analysis of resting brain activity reveals transient modulation of local cortical processing by transcranial direct current stimulation. EMBC 2011: 8102-8105 - [c8]Rodolphe J. Gentili, Hyuk Oh
Cortical network modeling for inverse kinematic computation of an anthropomorphic finger. EMBC 2011: 8251-8254
2000 – 2009
- 2009
- [j8]Javier Molina-Vilaplana
A model for altered neural network dynamics related to prehension movements in Parkinson disease. Biol. Cybern. 100(4): 271-287 (2009) - [j7]Trent J. Bradberry
Decoding center-out hand velocity from MEG signals during visuomotor adaptation. NeuroImage 47(4): 1691-1700 (2009) - [c7]Ozkan Celik, Marcia Kilchenman O'Malley
Compact and low-cost tendon vibrator for inducing proprioceptive illusions. WHC 2009: 623-624 - [c6]R. Brent Gillespie
Functionally biarticular control for smart prosthetics. WHC 2009: 627-628 - [c5]Bradley D. Hatfield, Amy J. Haufler, José L. Contreras-Vidal
Brain Processes and Neurofeedback for Performance Enhancement of Precision Motor Behavior. HCI (16) 2009: 810-817 - 2008
- [j6]Shihua Wen, Antonio Ulloa
Simulated neural dynamics of decision-making in an auditory delayed match-to-sample task. Biol. Cybern. 99(1): 15-27 (2008) - [c4]Rodolphe J. Gentili, Trent J. Bradberry, Bradley D. Hatfield, José Luis Contreras-Vidal:
A new generation of non-invasive biomarkers of cognitive-motor states with application to smart brain-computer interfaces. EUSIPCO 2008: 1-5 - 2007
- [j5]Moritz Grosse-Wentrup
The role of the striatum in adaptation learning: a computational model. Biol. Cybern. 96(4): 377-388 (2007) - 2004
- [j4]José L. Contreras-Vidal
Independent component analysis of dynamic brain responses during visuomotor adaptation. NeuroImage 21(3): 936-945 (2004) - 2001
- [c3]José Luis Contreras-Vidal
Neural dynamics of hand pre-shaping during prehension. SMC 2001: 3019-3024
1990 – 1999
- 1999
- [j3]José L. Contreras-Vidal
A Predictive Reinforcement Model of Dopamine Neurons for Learning Approach Behavior. J. Comput. Neurosci. 6(3): 191-214 (1999) - 1998
- [j2]José L. Contreras-Vidal
Neural dynamics of short and medium-term motor control effects of levodopa therapy in Parkinson's disease. Artif. Intell. Medicine 13(1-2): 57-79 (1998) - 1995
- [j1]José Luis Contreras-Vidal
A neural model of basal ganglia-thalamocortical relations in normal and parkinsonian movement. Biol. Cybern. 73(5): 467-476 (1995) - 1991
- [c2]Horacio Martinez-Alfaro, José L. Contreras-Vidal:
A robust real-time pitch detector based on neural networks. ICASSP 1991: 521-523 - [c1]Yannis A. Dimitriadis
An Adaptive Resonance Theory Architecture for the Automatic Recognition of on-line Handwritten Symbols of a Mathematical Editor. IWANN 1991: 216-226
Coauthor Index
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