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José del Rocio Millán Ruiz

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Related publications (230)

Brain-actuated gait trainer with visual and proprioceptive feedback

Mohamed Bouri, Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz, Kyuhwa Lee, Dong Liu

Objective. Brain-machine interfaces (BMIs) have been proposed in closed-loop applications for neuromodulation and neurorehabilitation. This study describes the impact of different feedback modalities on the performance of an EEG-based BMI that decodes moto ...

Institute of Physics2017

An EEG-based brain-computer interface for gait training

José del Rocio Millán Ruiz, Kyuhwa Lee, Dong Liu

This work presents an electroencephalography (EEG)-based Brain-computer Interface (BCI) that decodes cerebral activities to control a lower-limb gait training exoskeleton. Motor imagery (MI) of flexion and extension of both legs was distinguished from the ...

2017

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

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

Action Monitoring Cortical Activity Coupled to Submovements

José del Rocio Millán Ruiz, Michael Eric Anthony Pereira, Aleksander Sobolewski

Numerous studies have examined neural correlates of the human brain’s action-monitoring system during experimentally segmented tasks. However, it remains unknown how such a system operates during continuous motor output when no experimental time marker is ...

2017

A Brain-Controlled Exoskeleton with Cascaded Event-Related Desynchronization Classifiers

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

This paper describes a brain-machine interface for the online control of a powered lower-limb exoskeleton based on electroencephalogram (EEG) signals recorded over the user’s sensorimotor cortical areas. We train a binary decoder that can distinguish two d ...

Elsevier2017

Harnessing prefrontal cognitive signals for brain-machine interfaces

Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz

Brain-machine interfaces (BMIs) enable humans to interact with devices by modulating their brain signals. Despite impressive technological advancements, several obstacles remain. The most commonly used BMI control signals are derived from the brain areas i ...

Elsevier2017

Long-Term Stable Control of Motor-Imagery BCI by a Locked-in User Through Adaptive Assistance

Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz, Sareh Saeedi

Performance variation is one of the main challenges that BCIs are confronted with, when being used over extended periods of time. Shared control techniques could partially cope with such a problem. In this paper, we propose a taxonomy of shared control app ...

Institute of Electrical and Electronics Engineers2017

The effect of multimodal and enriched feedback on SMR-BCI performance

José del Rocio Millán Ruiz, Serafeim Perdikis, Robert Leeb

Objective: This study investigated the effect of multimodal (visual and auditory) continuous feedback with information about the uncertainty of the input signal on motor imagery based BCI performance. A liquid floating through a visualization of a funnel ( ...

Elsevier2016

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

Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz, 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

Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz, 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

Comparing EEG and fNIRS for a covert attention BCI

José del Rocio Millán Ruiz, Christoph Schneider

2016

Detection of Movement Related Cortical Potential: Effects of Causal vs. Non-Causal Processing

Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz

Movement Related Cortical Potentials (MRCP) have been the subject of numerous studies. They accompany many self-initiated movements and this makes them a good candidate for incorporation in BCI paradigms. In this work we propose a novel experimental protoc ...

2016

BCI controlled neuromuscular electrical stimulation enables sustained motor recovery in chronic stroke victims

José del Rocio Millán Ruiz, Robert Leeb, Andrea Biasiucci, Thomas Schmidlin, Tiffany Corbet

2016

Brain-Controlled Devices: The Perception-Action Closed Loop

José del Rocio Millán Ruiz

Future neuroprosthetics will be tightly coupled with the user in such a way that the resulting system can replace and restore impaired upper limb functions because controlled by the same neural signals than their natural counterparts. However, robust and n ...

Ieee2016

Stream fusion for multi-stream automatic speech recognition

Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz, Hesam Sagha, Ehsan Variani

Multi-stream automatic speech recognition (MS-ASR) has been confirmed to boost the recognition performance in noisy conditions. In this system, the generation and the fusion of the streams are the essential parts and need to be designed in such a way to re ...

Springer Verlag2016

First steps towards adaptive deep brain stimulation in Parkinson’s disease

Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz, Robert Leeb, Inaki Asier Iturrate Gil, Aleksander Sobolewski, Jocelyne Bloch

2016

Word pair classification during imagined speech using direct brain recordings

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

People that cannot communicate due to neurological disorders would benefit from an internal speech decoder. Here, we showed the ability to classify individual words during imagined speech from electrocorticographic signals. In a word imagery task, we used ...

Nature Research2016

Theta phase coupling with rhythmic motor output during visuomotor tracking

José del Rocio Millán Ruiz, Michael Eric Anthony Pereira, Aleksander Sobolewski

2016

Adaptive Assistance for Brain-Computer Interfaces by Online Prediction of Command Reliability

Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz, Robert Leeb, Sareh Saeedi

One of the challenges of using brain-computer interfaces (BCIs) over extended periods of time is the variation of the users' performance across different experimental days. The goal of the current study is to propose a performance estimator for an electroe ...

Institute of Electrical and Electronics Engineers2016

Context-aware adaptive spelling in motor imagery BCI

José del Rocio Millán Ruiz, Serafeim Perdikis, Robert Leeb

Objective. This work presents a first motor imagery-based, adaptive brain–computer interface (BCI) speller, which is able to exploit application-derived context for improved, simultaneous classifier adaptation and spelling. Online spelling experiments with ...

Institute of Physics2016

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