José del Rocio Millán Ruiz

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Publications associées (230)

Decoding Inner Speech Using Electrocorticography: Progress and Challenges Toward a Speech Prosthesis

José del Rocio Millán Ruiz, Inaki Asier Iturrate Gil, Stéphanie Martin

2018

ROS-Health: An Open-Source Framework for Neurorobotics

José del Rocio Millán Ruiz, Luca Tonin

This paper aims at providing a preliminary description of ROS-Health, a novel framework for neurorobotics based on the middleware Robot Operating System (ROS). The increased interest in the neurorobotics field and the proliferation of several (neuro) physi ...

IEEE2018

Motor Attempt EEG Paradigm As a Diagnostic Tool for Disorders of Consciousness

José del Rocio Millán Ruiz, Serafeim Perdikis, Christoph Schneider

To investigate whether a motor attempt EEG paradigm coupled with functional electrical stimulation can detect command following and, therefore, signs of conscious awareness in patients with disorders of consciousness, we recorded nine patients admitted to ...

2018

Using Robust Principal Component Analysis to Reduce EEG Intra-Trial Variability

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Ping-Keng Jao

Practical brain-computer interfaces need to overcome several challenges, including tolerance to signal variability within- and across sessions. We introduce Robust Principal Component Analysis (RPCA) as a potential approach to tackle intra-trial variabilit ...

2018

Neural encoding of auditory features during music perception and imagery

José del Rocio Millán Ruiz, Stéphanie Martin

Despite many behavioral and neuroimaging investigations, it remains unclear how the human cortex represents spectrotemporal sound features during auditory imagery, and how this representation compares to auditory perception. To assess this, we recorded ele ...

2018

Analysis of EEG Correlates of Perceived Difficulty in Dynamically Changing Flying Tasks

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Ping-Keng Jao

Real-time workload estimation can be an important tool to improve human-machine interaction. Despite multiple efforts in this sense, most studies focused on tasks designed to have extreme conditions of workload (high vs low), and these levels remain rather ...

IEEE2018

mano: A Wearable Hand Exoskeleton for Activities of Daily Living and Neurorehabilitation

José del Rocio Millán Ruiz, Luca Randazzo, Inaki Asier Iturrate Gil, Serafeim Perdikis

Hand sensorimotor impairments are among the most common consequences of injuries affecting the central and peripheral nervous systems, leading to a drastic reduction in the quality of life for affected individuals. Combining wearable robotic exoskeletons a ...

Ieee-Inst Electrical Electronics Engineers Inc2018

Brain-actuated functional electrical stimulation elicits lasting arm motor recovery after stroke

José del Rocio Millán Ruiz, Hua Zhang, Robert Leeb, Inaki Asier Iturrate Gil, Serafeim Perdikis, Andrea Biasiucci, Tiffany Corbet, Thomas Schmidlin, Dragana Viceic

Brain-computer interfaces (BCI) are used in stroke rehabilitation to translate brain signals into intended movements of the paralyzed limb. However, the efficacy and mechanisms of BCI-based therapies remain unclear. Here we show that BCI coupled to functio ...

Nature Research2018

EEG topographies provide subject-specific correlates of motor control

Dimitri Nestor Alice Van De Ville, José del Rocio Millán Ruiz, Silvestro Micera, Elvira Pirondini, Martina Coscia, Jesús Minguillón Campos

Electroencephalography (EEG) of brain activity can be represented in terms of dynamically changing topographies (microstates). Notably, spontaneous brain activity recorded at rest can be characterized by four distinctive topographies. Despite their well-es ...

Nature Research2017

Electrically Assisted Movement Therapy in Chronic Stroke Patients With Severe Upper Limb Paresis: A Pilot, Single-Blind, Randomized Crossover Study

José del Rocio Millán Ruiz, Andrea Biasiucci, Silvio Ionta, Andrea Maesani, Stephanie Clarke

Objective To evaluate the effects of electrically assisted movement therapy (EAMT) in which patients use functional electrical stimulation, modulated by a custom device controlled through the patient's unaffected hand, to produce or assist task-specific up ...

Elsevier2017

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Electrically Assisted Movement Therapy in Chronic Stroke Patients With Severe Upper Limb Paresis: A Pilot, Single-Blind, Randomized Crossover Study

José del Rocio Millán Ruiz, Andrea Biasiucci, Silvio Ionta, Andrea Maesani, Stephanie Clarke

Elsevier2017

EEG topographies provide subject-specific correlates of motor control

Dimitri Nestor Alice Van De Ville, José del Rocio Millán Ruiz, Silvestro Micera, Elvira Pirondini, Martina Coscia, Jesús Minguillón Campos

Nature Research2017