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José del Rocio Millán Ruiz

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Related publications (228)

Page 6 of 12

Vision-Based Shared Control for a BCI Wheelchair

José del Rocio Millán Ruiz, Tom Edward Carlson

Brain-actuated wheelchairs offer paraplegics the potential to gain a degree of independence in performing activities of daily living. It is not currently possible to achieve precise proportional control of devices using the low resolution output of a brain ...

2011

Multimodal Fusion of Muscle and Brain Signals for a Hybrid-BCI

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Robert Leeb, Hesam Sagha

Practical Brain-Computer Interfaces (BCIs) for disabled people should allow them to use all their remaining functionalities as control possibilities. Sometimes these people have residual activity of their muscles, most likely in the morning when they are n ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2010

Towards non-invasive hybrid brain-computer interfaces: Framework, practice, clinical application and beyond

José del Rocio Millán Ruiz, Robert Leeb

In their early days, BCIs were only considered as control channel for end users with severe motor impairments such as people in the locked-in state. But, thanks to the multidisciplinary progress achieved over the last decade, the range of BCI applications ...

Ieee-Inst Electrical Electronics Engineers Inc2015

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

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, 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

An Iterative Framework for EEG-based Image Search: Robust Retrieval with Weak Classifiers

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Marija Uscumlic

We revisit the framework for brain-coupled image search, where the Electroencephalography (EEG) channel under rapid serial visual presentation protocol is used to detect user preferences. Extending previous works on the synergy between content-based image ...

Public Library of Science2013

Phase-based features for Motor Imagery Brain-Computer Interfaces

José del Rocio Millán Ruiz, Robert Leeb, Michele Tavella

Motor imagery (MI) brain-computer interfaces (BCIs) translate a subject’s motor intention to a command signal. Most MI BCIs use power features in the mu or beta rhythms, while several results have been reported using a measure of phase synchrony, the phase ...

IEEE2011

Brain-actuated gait trainer with visual and proprioceptive feedback

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

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

Context-aware adaptive spelling in motor imagery BCI

José del Rocio Millán Ruiz, Robert Leeb, Serafeim Perdikis

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

Detecting Anomalies to Improve Classification Performance in Opportunistic Sensor Networks

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

Anomalies and changes in sensor networks which are deployed for activity recognition may abate the classification performance. Detection of anomalies followed by compensatory reaction would ameliorate the performance. This paper introduces a novel approach ...

2011

Prediction of Command Delivery Time for BCI

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Inaki Asier Iturrate Gil, Tom Edward Carlson, Sareh Saeedi

One of the challenges in using brain computer interfaces over extended periods of time is the uncertainty in the system. This uncertainty can be due to the user's internal states, the non stationarity of the brain signals, or the variation of the class dis ...

2014

Personalized neuroprosthetics

Silvestro Micera, José del Rocio Millán Ruiz, Grégoire Courtine, David Allenson Borton

Decades of technological developments have populated the field of neuroprosthetics with myriad replacement strategies, neuromodulation therapies, and rehabilitation procedures to improve the quality of life for individuals with neuromotor disorders. Despit ...

American Association for the Advancement of Science2013

Towards Implementation of Motor Imagery using Brain Connectivity Features

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

This study aims to explore modulation of the connectivity pattern when people perform left hand versus right hand motor imagery and probe the feasibility of adopting connectivity information to discriminate these tasks. Nine subjects were recorded with 16- ...

2014

Towards a Robust BCI: Error Potentials and Online Learning

José del Rocio Millán Ruiz, Pierre Ferrez

Recent advances in the field of Brain-Computer Interfaces (BCIs) have shown that BCIs have the potential to provide a powerful new channel of communication, completely independent of muscular and nervous systems. However, while there have been successful l ...

2006

Interaction and Evaluation of an Augmented Virtuality Assistance System for Teleoperated Robots

José del Rocio Millán Ruiz, Tom Edward Carlson

This paper presents the main features and capabilities of a developed system based on augmented virtuality (AV), which is devoted to the assisted navigation of teleoperated robots. The goal is to provide users with a greater perception of the robot navigat ...

2012

Towards Natural Non-Invasive Hand Neuroprostheses for Daily Living

José del Rocio Millán Ruiz, Robert Leeb, Michele Tavella

In this paper we show how healthy subjects can operate a non-invasive asynchronous BCI for controlling a FES neuroprosthesis and manipulate objects to carry out daily tasks in ecological conditions. Both, experienced and novel subjects proved to be able to ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2010

Learning to control a BMI-driven wheelchair for people with severe tetraplegia

José del Rocio Millán Ruiz, Serafeim Perdikis, Luca Tonin, Kyuhwa Lee, Bastien Orset

Mind-controlled wheelchairs are an intriguing assistive mobility solution applicable in complete paralysis. Despite progress in brain-machine interface (BMI) technology, its translation remains elusive. The primary objective of this study is to probe the h ...

Cell Press2022

Superposition model for steady state visually evoked potentials

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano

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

Evidence Accumulation in asynchronous BCI

José del Rocio Millán Ruiz, Robert Leeb, Serafeim Perdikis, Hamidreza Bayati

The non-invasive Brain-Computer Interface (BCI) developed in our lab targets asynchronous operation of devices by monitoring electroencephalographic (EEG) activity and identifying oscillatory patterns that the user can voluntary modulate through the execut ...

2011

Cortical Current Density vs. Surface EEG for Event-Related Potential-based Brain-Computer Interface

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

In this paper we use the cortical current density based inverse solution to classify Event Related Potential, in particular for error-related potential elicited during Brain-Computer Interface experiment. We selected discriminant cortical sources for compa ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2011

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