Mediaspace scheduled maintenance: Aug 25, 2026 07:00 - 12:00 AM. During this time, videos will be temporarily unavailable. Check status updates.

Home

Person

José del Rocio Millán Ruiz

This person has left EPFL

About
Privacy
Disclaimer

Graph Chatbot

Related publications (228)

Page 2 of 12

EEG-based decoding of error-related brain activity in a real-world driving task

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Inaki Asier Iturrate Gil, Huaijian Zhang, Lucian Andrei Gheorghe, Zahra Khaliliardali

Objectives. Recent studies have started to explore the implementation of brain–computer interfaces (BCI) as part of driving assistant systems. The current study presents an EEG-based BCI that decodes error-related brain activity. Such information can be us ...

Institute of Physics2015

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

On-line anomaly detection and resilience in classifier ensembles

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

Detection of anomalies is a broad field of study, which is applied in different areas such as data monitoring, navigation, and pattern recognition. In this paper we propose two measures to detect anomalous behaviors in an ensemble of classifiers by monitor ...

Elsevier2013

The OPPORTUNITY Framework and Data Processing Ecosystem for Opportunistic Activity and Context Recognition

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

Opportunistic sensing can be used to obtain data from sensors that just happen to be present in the user’s surroundings. By harnessing these opportunistic sensor configurations to infer activity or context, ambient intelligence environments become more rob ...

2012

Latency Correction of Event-Related Potentials Between Different Experimental Protocols

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

Objective: A fundamental issue in EEG event-related potentials (ERPs) studies is the amount of data required to have an accurate ERP model. This also impacts the time required to train a classifier for a brain-computer interface (BCI). This issue is mainly ...

Institute of Physics2014

Human EEG reveals distinct neural correlates of power and precision grasping types

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Robert Leeb, Inaki Asier Iturrate Gil, Michael Eric Anthony Pereira, Huaijian Zhang, Tiffany Corbet

Hand grasping is a sophisticated motor task that has received much attention by the neuroscientific community, which demonstrated how grasping activates a network involving parietal, pre-motor and motor cortices using fMRI, ECoG, LFPs and spiking activity. ...

2018

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

Cortico-Muscular Coherence Is Reduced Acutely Post-stroke and Increases Bilaterally During Motor Recovery: A Pilot Study

José del Rocio Millán Ruiz, Serafeim Perdikis, Tiffany Corbet

Motor recovery following stroke is believed to necessitate alteration in functional connectivity between cortex and muscle. Cortico-muscular coherence has been proposed as a potential biomarker for post-stroke motor deficits, enabling a quantification of r ...

2019

Transferring brain-computer interfaces beyond the laboratory: Successful application control for motor-disabled users

José del Rocio Millán Ruiz, Robert Leeb, Serafeim Perdikis, Luca Tonin, Andrea Biasiucci, Tom Edward Carlson, Michele Tavella, Marco Creatura

OBJECTIVES: Brain-computer interfaces (BCIs) are no longer only used by healthy participants under controlled conditions in laboratory environments, but also by patients and end-users, controlling applications in their homes or clinics, without the BCI exp ...

Elsevier2013

Non-Invasive Brain-Actuated Interaction

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Pierre Ferrez, Eileen Lew Yi Lee

The promise of Brain-Computer Interfaces (BCI) technology is to augment human capabilities by enabling interaction with computers through a conscious and spontaneous modulation of the brainwaves after a short training period. Indeed, by analyzing brain ele ...

Springer Verlag2007

EEG-based Recognition of Covert Attentional Shifts

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano

Attentional shifts precede most of the perceptual processes, and therefore their recognition may constitute an interesting process for both the study of human perception as well as the design of EEG-based Brain Computer Interfaces (BCI). Several studies ha ...

2008

Customizing skills for assistive robotic manipulators, an inverse reinforcement learning approach with error-related potentials

Aude Billard, José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Iason Batzianoulis, Fumiaki Iwane, Carolina Gaspar Pinto Ramos Correia

Robotic assistance via motorized robotic arm manipulators can be of valuable assistance to individuals with upper-limb motor disabilities. Brain-computer interfaces (BCI) offer an intuitive means to control such assistive robotic manipulators. However, BCI ...

NATURE PORTFOLIO2021

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

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

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

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

EEG paradigms as a supplemental tool to behavioral assessments of DOC

José del Rocio Millán Ruiz, Andrea Serino, Serafeim Perdikis

Introduction Diagnosis and prediction of recovery in the acute phase of disorders of consciousness (DOC) are critical for subsequent medical decisions. However, reliable assessment remains elusive due to the inability of current validated clinical scales t ...

2017

Fast Recognition of Anticipation Related Potentials

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

Anticipation increases the efficiency of daily tasks by partial advance activation of neural substrates involved in it. Here we develop a method for the recognition of electroencephalogram (EEG) correlates of this activation as early as possible on single ...

Institute of Electrical and Electronics Engineers2009

The use of intracranial recordings to decode human language: Challenges and opportunities

José del Rocio Millán Ruiz, Stéphanie Martin

Decoding speech from intracranial recordings serves two main purposes: understanding the neural correlates of speech processing and decoding speech features for targeting speech neuroprosthetic devices. Intracranial recordings have high spatial and tempora ...

Elsevier2019

Unsupervised adaptation for acceleration-based activity recognition: Robustness to sensor displacement and rotation

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Hamidreza Bayati

A common assumption in activity recognition is that the system remains unchanged between its design and its posterior operation. However, many factors affect the data distribution between two different experimental sessions. One of these factors is the pot ...

Springer Verlag2013

The Human-Computer Connection An Overview Of Brain-Computer Interfaces

José del Rocio Millán Ruiz

This article introduces the field of brain-computer interfaces (BCI), which allows the control of devices without the generation of any active motor output but directly from the decoding of the user's brain signals. Here we review the current state of the ...

2019

Inferring individual evaluation criteria for reaching trajectories with obstacle avoidance from EEG signals

José del Rocio Millán Ruiz, Aude Billard, Fumiaki Iwane

During reaching actions, the human central nerve system (CNS) generates the trajectories that optimize effort and time. When there is an obstacle in the path, we make sure that our arm passes the obstacle with a sufficient margin. This comfort margin varie ...

Nature Portfolio2023