Personne
Ricardo Andres Chavarriaga Lozano
Cette personne n’est plus à l’EPFL
Publications associées (153)
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 ...
2017An Approach to a Phase Model for Steady State Visually Evoked Potentials
José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Jaiber Evelio Cardona Aristizabal, Wilfredo Alfonso Morales
One of the most used signals in Brain Machine Interfaces (BMI) is the Steady State Visually Evoked Potentials (SSVEP). In a SSVEP-based BMI, a visual stimulus that flickers in a constant frequency is presented to the user, and the system has to detect if t ...
Springer International Publishing Ag2017A Brain-Controlled Exoskeleton with Cascaded Event-Related Desynchronization Classifiers
José del Rocio Millán Ruiz, Kyuhwa Lee, Ricardo Andres Chavarriaga Lozano, 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 ...
Elsevier2017Heading for new shores! Overcoming pitfalls in BCI design
Ricardo Andres Chavarriaga Lozano
Research in brain-computer interfaces has achieved impressive progress towards implementing assistive technologies for restoration or substitution of lost motor capabilities, as well as supporting technologies for able-bodied subjects. Notwithstanding this ...
Taylor & Francis Ltd2017Long-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 Engineers2017Workshops of the Sixth International Brain–Computer Interface Meeting: brain–computer interfaces past, present, and future
Ricardo Andres Chavarriaga Lozano, Inaki Asier Iturrate Gil, Anton Nijholt
The Sixth International Brain-Computer Interface (BCI) Meeting was held May 30-June 3rd, 2016 at the Asilomar Conference Grounds, Pacific Grove, California, United States. The conference included 28 workshops covering topics in BCI and brain-machine inter ...
2017Brain-actuated gait trainer with visual and proprioceptive feedback
José del Rocio Millán Ruiz, Mohamed Bouri, Kyuhwa Lee, Ricardo Andres Chavarriaga Lozano, 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 Physics2017Endogenous Control of Powered Lower-Limb Exoskeleton
José del Rocio Millán Ruiz, Kyuhwa Lee, Ricardo Andres Chavarriaga Lozano, Dong Liu
We present an online decoding method for controlling a powered lower-limb exoskeleton using endogenously generated electroencephalogram (EEG) signals of human users. By performing a series of binary classifications, users control the exoskeleton in three d ...
Springer Int Publishing Ag2017Harnessing prefrontal cognitive signals for brain-machine interfaces
José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano
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 ...
Elsevier2017Decoding 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