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José del Rocio Millán Ruiz

Cette personne a quitté l’EPFL

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Publications associées (228)

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Inferring subjective preferences on robot trajectories using EEG signals

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

Cognitive information has been exploited in non-invasive Brain Computer Interface (BCI) scenarios to provide autonomous external agents with additional information. In this context, Error-related potentials (ErrPs), temporal deflections in electroencephalo ...

IEEE2019

Selective Enhancement of Motor Imagery Features Using Transcranial Direct Current Stimulation

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Robert Leeb, Andrea Biasiucci

Transcranial Direct Current Stimulation (tDCS) has been shown to selectively modulate cortical responses in memory, motor and perceptual tasks. Here we show that this type of stimulation results in targeted enhancement of brain patterns elicited during mot ...

Graz University of Technology Publishing House2013

Time-Dependent Approach for Single Trial Classification of Covert Visuospatial Attention

José del Rocio Millán Ruiz, Robert Leeb, Luca Tonin

Recently, several studies have started to explore covert visuospatial attention as a control signal for brain–computer interfaces (BCIs). Covert visuospatial attention represents the ability to change the focus of attention from one point in the space with ...

Institute of Physics2012

Discriminative Channel Selection Method for the Recognition of Anticipation related Potentials from CCD estimated Cortical Activity

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Gangadhar Garipelli

Recognition of brain states and subject's intention from electroencephalogram (EEG) is a challenging problem for brain-computer interaction. Signals recorded from each of EEG electrodes represent noisy spatio-temporal overlapping of activity arising from v ...

2009

Sport Psychology: Technologies Ahead

José del Rocio Millán Ruiz, Camille Marie Jeunet

FRONTIERS MEDIA SA2020

Brain Correlates of Lane Changing Reaction Time in Simulated Driving

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Huaijian Zhang, Lucian Andrei Gheorghe

Psychophysical studies have reported correlation between neural activity in frontal and parietal areas and subject's reaction time in simple tasks. Here we study whether similar correlates can also be identified in driver's electroencephalography (EEG) act ...

2015

EEG error-related potentials encode magnitude of errors and individual perceptual thresholds

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Aleksander Sobolewski, Fumiaki Iwane

Error-related potentials (ErrPs) are a prominent electroencephalogram (EEG) correlate of performance monitoring, and so crucial for learning and adapting our behavior. It is poorly understood whether ErrPs encode further information beyond error awareness. ...

Cell Press2023

Inverse solutions for brain-computer interfaces: Effects of regularisation on localisation and classification

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Mohit Kumar Goel

Estimation of intracranial sources, using inverse solutions methods, has been proposed as a mean to improve performance in non-invasive brain-computer interfaces. These methods estimate the activity of a large number of neural sources from a smaller number ...

2017

Hand exoskeleton device

José del Rocio Millán Ruiz, Luca Randazzo

The invention relates to a hand exoskeleton device having a modular nature. The device is designed to be wearable, portable and light in weight, and comprises from one to ten modules each having an actuating mechanism such as a linear actuator coupled with ...

2019

Hyperdimensional computing for noninvasive brain-computer interfaces: Blind and one-shot classification of EEG error-related potentials

José del Rocio Millán Ruiz

The mathematical properties of high-dimensional (HD) spaces show remarkable agreement with behaviors controlled by the brain. Computing with HD vectors, referred to as "hypervectors," is a brain-inspired alternative to computing with numbers. HD computing ...

2017

An application-based taxonomy for brain–computer interfaces

José del Rocio Millán Ruiz, Mahsa Shoaran, Nicolas Vachicouras

The term 'brain-computer interface' (BCI) is widely used. However, even among experts, its meaning can sometimes be unclear 1-3. Lack of clarity from the term has real-world implications: it can muddle regulatory guidelines, it may confuse investors, it ca ...

Springer Science and Business Media LLC2024

Real-time Prediction of Fast and Slow Delivery of Mental Commands in a Motor Imagery BCI: An Entropy-based Approach

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

Providing adaptive shared control for Brain- Computer Interfaces (BCIs) can result in better performance while reducing the user’s mental workload. In this respect, online estimation of accuracy and speed of command delivery are important factors. This stu ...

2012

Closed-loop EEG study on visual recognition during driving

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Ruslan Aydarkhanov

Objective. In contrast to the classical visual brain-computer interface (BCI) paradigms, which adhere to a rigid trial structure and restricted user behavior, electroencephalogram (EEG)-based visual recognition decoding during our daily activities remains ...

2021

Error-Related EEG Potentials Generated during Simulated Brain-Computer Interaction

José del Rocio Millán Ruiz, Pierre Ferrez

Brain-computer interfaces (BCIs) are prone to errors in the recognition of subject's intent. An elegant approach to improve the accuracy of BCIs consists in a verification procedure directly based on the presence of error-related potentials (ErrP) in the E ...

2008

Online BCI with Stable Sources

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Mohit Kumar Goel

In this paper, we show that the estimated intra-cranial sources using source localization on EEG signals can be used for online Brain Computer Interation (BCI) and the discriminant sources remain stable over days. Classifiers are trained on discriminant so ...

2012

Latency Correction of Error Potentials Between Different Experiments Reduces Calibration Time for Single-Trial Classification

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

One fundamental limitation of EEG-based brain- computer interfaces is the time needed to calibrate the system prior to the detection of signals, due to the wide variety of issues affecting the EEG measurements. For event-related potentials (ERP), one of th ...

2012

Brain–machine interface: closer to therapeutic reality?

Silvestro Micera, José del Rocio Millán Ruiz, Grégoire Courtine, John Francis Di Giovanna

Elsevier Science Inc2013

Novice Shooters With Lower Pre-shooting Alpha Power Have Better Performance During Competition in a Virtual Reality Scenario

José del Rocio Millán Ruiz, Michael Eric Anthony Pereira

Competition changes the environment for athletes. The difficulty of training for such stressful events can lead to the well-known effect of “choking” under pressure, which prevents athletes from performing at their best level. To study the effect of compet ...

Frontiers Media2018

The hybrid Brain-Computer Interface: a bridge to assistive technology?

José del Rocio Millán Ruiz, Robert Leeb

Brain-Computer Interfaces (BCIs) can be extended by other input signals to form a so-called hybrid BCI (hBCI). Such an hBCI allows the processing of several input signals with at least one brain signal for control purposes, i.e. communication and environme ...

De Gruyter2013

Learning from EEG Error-related Potentials in Noninvasive Brain-Computer Interfaces

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano

We describe error-related potentials generated while a human user monitors the performance of an external agent and discuss their use for a new type of Brain-Computer Interaction. In this approach, single trial detection of error-related EEG potentials is ...

Institute of Electrical and Electronics Engineers2010