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Ricardo Andres Chavarriaga Lozano

Cette personne n’est plus à l’EPFL

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Publications associées (138)

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

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

Decoding of two hand grasping types from EEG

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

2016

Adaptive assistance for BCI: a locked-in syndrome end-user case study

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

2016

Reliable BMI control using epidural ECoG by an hemiplegic user

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

2016

Robust, accurate spelling based on error-related potentials

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

2016

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

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

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

Detecting intention to grasp during reaching movements from EEG

Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz, Robert Leeb, Inaki Asier Iturrate Gil, Luca Randazzo

Brain-computer interfaces (BCI) have been shown to be a promising tool in rehabilitation and assistive scenarios. Within these contexts, brain signals can be decoded and used as commands for a robotic device, allowing to translate user’s intentions into mo ...

2015

Teaching brain-machine interfaces as an alternative paradigm to neuroprosthetics control

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

Brain-machine interfaces (BMI) usually decode movement parameters from cortical activity to control neuroprostheses. This requires subjects to learn to modulate their brain activity to convey all necessary information, thus imposing natural limits on the c ...

Nature Publishing Group2015

Brain Correlates of Lane Changing Reaction Time in Simulated Driving

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

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

Discriminant Brain Connectivity Patterns of Performance Monitoring at Average and Single-Trial Levels

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

Electrophysiological and neuroimaging evidence suggest the existence of common mechanisms for monitoring erroneous events, independent of the source of errors. Previous works have described modulations of theta activity in the medial frontal cortex elicite ...

Elsevier2015

Quantifying electrode reliability during Brain-Computer Interface operation

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

One of the problems of non-invasive Brain-Computer Interface (BCI) applications is the occurrence of anomalous (unexpected) signals that might degrade BCI performance. This situation might slip the operator’s attention since raw signals are not usually con ...

Institute of Electrical and Electronics Engineers2015

Quantifying the time for accurate EEG decoding of single value-based decisions

Ricardo Andres Chavarriaga Lozano, Athina Tzovara

Background Recent neuroimaging studies suggest that value-based decision-making may rely on mechanisms of evidence accumulation. However no studies have explicitly investigated the time when single decisions are taken based on such an accumulation process. ...

Elsevier2015

Decoding Fast-Paced Error-Related Potentials in Monitoring Protocols

Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz, Inaki Asier Iturrate Gil, Quentin Olivier Pierre Wannebroucq

Error-related EEG potentials (ErrP) can be used for brain-machine interfacing (BMI). Decoding of these signals, indicating subject's perception of erroneous system decisions or actions can be used to correct these actions or to improve the overall interfac ...

2015

Asynchronous Decoding of Error Potentials During the Monitoring of a Reaching Task

Ricardo Andres Chavarriaga Lozano, Inaki Asier Iturrate Gil

Brain-machine interfaces (BMIs) have demonstrated how they can be used for reaching tasks with both invasive and non-invasive signal recording methods. Despite the constant improvements in this field, there still exist diverse factors to overcome before ac ...

2015

EEG correlates of active visual search during simulated driving: An exploratory study

Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz, Hadrien Marc Renold, Lucian Andrei Gheorghe

Brain responses to visual stimuli can provide information about visual recognition processes. Several studies have shown stimulus-dependent modulation of the evoked neural responses after gaze shifts (i.e. eye fixation related potentials, EFRP) depending o ...

2014

Multidisciplinary design of suitable assistive technologies for motor disabilities in Colombia

Ricardo Andres Chavarriaga Lozano

raumatic or pathological brain lesions often result in motor disabilities that have strong personal and social effects. Assistive technologies can support this population, potentially improving their autonomy and promoting their participation in society. H ...

2014

Prediction of Command Delivery Time for BCI

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

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

Towards Implementation of Motor Imagery using Brain Connectivity Features

Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz, 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

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