Publications associées à The effect of multimodal and enriched feedback on SMR-BCI performance

Early decoding of walking tasks with minimal set of EMG channels

Silvestro Micera, Federica Barberi, Eugenio Anselmino, Francesco Iberite

Objective. Powered lower-limb prostheses relying on decoding motor intentions from non-invasive sensors, like electromyographic (EMG) signals, can significantly improve the quality of life of amputee subjects. However, the optimal combination of high decod ...

IOP Publishing Ltd2023

Computational approaches to decode grasping force and velocity level in upper-limb amputee from intraneural peripheral signals

Silvestro Micera, Ivo Strauss, Giacomo Valle

Objective. Recent results have shown the potentials of neural interfaces to provide sensory feedback to subjects with limb amputation increasing prosthesis usability. However, their advantages for decoding motor control signals over current methods based o ...

IOP Publishing Ltd2021

Cortical plasticity after hand prostheses use: Is the hypothesis of deafferented cortex "invasion" always true?

Pablo Garcia del Valle, Edoardo D'Anna, Silvestro Micera, Stanisa Raspopovic, Francesco Maria Petrini, Ivo Strauss, Giacomo Valle, Francesco Iberite

Objective: To study motor cortex plasticity after a period of training with a new prototype of bidirectional hand prosthesis in three left trans-radial amputees, correlating these changes with the modification of Phantom Limb Pain (PLP) in the same period. ...

ELSEVIER IRELAND LTD2020

Neurofeedback training with a low-priced EEG device leads to faster alpha enhancement but shows no effect on cognitive performance: A single-blind, sham-feedback study

Andreas Sonderegger, João Pedro de Matos Rodrigues

Introduction Findings of recent studies indicate that it is possible to enhance cognitive capacities of healthy individuals by means of individual upper alpha neurofeedback training (NFT). Although these results are promising, most of this research was con ...

2019

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

Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz, 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

Neurotechnology for Brain Repair : Imaging, Enhancing and Restoring Human Motor Function

Andrea Biasiucci

Neurotechnology is the application of scientific knowledge to the practical purpose of understanding, interacting and/or repairing the brain or, in a broader sense, the nervous system. The development of novel approaches to decode functional information fr ...

EPFL2014

Vibrotactile Feedback for Brain-Computer Interface Operation

José del Rocio Millán Ruiz

To be correctly mastered, Brain-Computer Interfaces (BCIs) need an uninterrupted flow of feedback to the user. This feedback is usually delivered through the visual channel. Our aim is to explore the benefits of vibrotactile feedback during usersï¿½ traini ...

2007

Phase synchronization for classification of spontaneous EEG signals in brain-computer interfaces

Elly Gysels

By directly analyzing brain activity, Brain-Computer Interfaces (BCIs) allow for communication that does not rely on any muscular control and therefore constitute a possible communication channel for the completely paralyzed. Typically, the user performs d ...

EPFL2005