Brain-reading

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Decoding of Self-paced Lower-Limb Movement Intention: A Case Study on the Influence Factors

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Dong Liu

Brain-machine interfaces (BMIs) have been applied as new rehabilitation tools for motor disabled individuals. Active involvement of cerebral activity has been shown to enhance neuroplasticity and thus to restore mobility. Various studies have focused on th ...

Frontiers Research Foundation2017

EXiO-A Brain-Controlled Lower Limb Exoskeleton for Rhesus Macaques

Hannes Bleuler, Mohamed Bouri, Jeremy Olivier, Miguel Nicolelis, Tristan Hubert Vouga

Recent advances in the field of brain-machine interfaces (BMIs) have demonstrated enormous potential to shape the future of rehabilitation and prosthetic devices. Here, a lower-limb exoskeleton controlled by the intracortical activity of an awake behaving ...

Ieee-Inst Electrical Electronics Engineers Inc2017

Classification of upper limb center-out reaching tasks by means of EEG-based continuous decoding techniques

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano

Background: One of the current challenges in brain-machine interfacing is to characterize and decode upper limb kinematics from brain signals, e.g. to control a prosthetic device. Recent research work states that it is possible to do so based on low freque ...

BioMed Central2017

Performance monitoring for brain-computer-interface actions

Olaf Blanke, Aaron Schurger, Steven Gale, Olivia Gozel

When presented with a difficult perceptual decision, human observers are able to make metacognitive judgements of subjective certainty. Such judgements can be made independently of and prior to any overt response to a sensory stimulus, presumably via inter ...

Elsevier2017

Behavioral and cortical effects during attention driven brain-computer interface operations in spatial neglect: A feasibility case study

José del Rocio Millán Ruiz, Robert Leeb, Luca Tonin, Huaijian Zhang

During the last years, several studies have suggested that Brain-Computer Interface (BCI) can play a critical role in the field of motor rehabilitation. In this case report, we aim to investigate the feasibility of a covert visuospatial attention (CVSA) dr ...

Frontiers Research Foundation2017

Spatial filters yield stable features for error-related potentials across conditions

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Inaki Asier Iturrate Gil, Fumiaki Iwane

Error-related potentials (ErrP) have been increasingly studied in psychophysical experiments as well as for brain-machine interfacing. In the latter case, the generalisation capabilities of ErrP decoders is a crucial element to avoid frequent recalibration ...

2016

Superposition model for steady state visually evoked potentials

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Jaiber Evelio Cardona Aristizabal, Wilfredo Alfonso Morales

Steady State Visually Evoked Potentials (SSVEP) are signals produced in the occipital part of the brain when someone gaze a light flickering at a fixed frequency. These signals have been used for Brain Machine Interfacing (BMI), where one or more stimuli a ...

2016

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Behavioral and cortical effects during attention driven brain-computer interface operations in spatial neglect: A feasibility case study

José del Rocio Millán Ruiz, Robert Leeb, Luca Tonin, Huaijian Zhang

Frontiers Research Foundation2017

Superposition model for steady state visually evoked potentials

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Jaiber Evelio Cardona Aristizabal, Wilfredo Alfonso Morales

2016