J
Jose L. Contreras-Vidal
Researcher at University of Houston
Publications - 219
Citations - 8287
Jose L. Contreras-Vidal is an academic researcher from University of Houston. The author has contributed to research in topics: Electroencephalography & Gait (human). The author has an hindex of 45, co-authored 210 publications receiving 6748 citations. Previous affiliations of Jose L. Contreras-Vidal include Boston University & Monterrey Institute of Technology and Higher Education.
Papers
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Proceedings ArticleDOI
Risk and adverse events related to lower-limb exoskeletons
TL;DR: A review of publically available exoskeleton-related adverse events showed that bone fracture is a serious risk that was not considered in previous literatures and should be considered in future studies.
Book ChapterDOI
Neuro-Robotics: Rehabilitation and Restoration of Walking Using Exoskeletons via Non-invasive Brain–Machine Interfaces
TL;DR: This chapter focuses on the active (actuated) lower-body exoskeleton systems that are designed for compensatory and restorative purposes and defines several key aspects of such neuro-robotic systems.
Journal ArticleDOI
A model for altered neural network dynamics related to prehension movements in Parkinson disease
TL;DR: A large-scale model of neural interactions in the basal ganglia has been integrated with previous models accounting for the cortical organization of goal directed reaching and grasping movements in normal and perturbed conditions and the model hypothesis validation is carried out.
Book ChapterDOI
Your Brain on Art: A New Paradigm to Study Artistic Creativity Based on the ‘Exquisite Corpse’ Using Mobile Brain-Body Imaging
TL;DR: A novel experimental paradigm to investigate the human creative process in artistic expression using mobile brain-body imaging (MoBI) technology, which allows the study of brain dynamics in freely behaving individuals performing in natural settings that promote authentic artistic experiences.
Proceedings ArticleDOI
Decoding of intentional actions from scalp electroencephalography (EEG) in freely-behaving infants
TL;DR: Results from a 20-month male infant are presented to illustrate the feasibility of EEG-based classification of freely occurring MNS behaviors displayed by an infant and indicate the informative nature of EEG in relation to intentionality for MNS tasks which may support action-understanding and thus bear implications for advancing the understanding of MNS function.