EEG-based auditory attention detection and its possible future applications for passive BCI

J Belo, M Clerc, D Schön - Frontiers in computer science, 2021 - frontiersin.org
The ability to discriminate and attend one specific sound source in a complex auditory
environment is a fundamental skill for efficient communication. Indeed, it allows us to follow …

A novel two-stage refine filtering method for EEG-based motor imagery classification

Y Yan, H Zhou, L Huang, X Cheng… - Frontiers in …, 2021 - frontiersin.org
Cerebral stroke is a common disease across the world, and it is a promising method to
recognize the intention of stroke patients with the help of brain–computer interface (BCI). In …

Real-time tracking of Magnetoencephalographic neuromarkers during a dynamic attention-switching task

A Presacco, S Miran, B Babadi… - 2019 41st Annual …, 2019 - ieeexplore.ieee.org
In the last few years, a large number of experiments have been focused on exploring the
possibility of using non-invasive techniques, such as electroencephalography (EEG) and …

Estimation of state-space models with Gaussian mixture process noise

S Miran, JZ Simon, MC Fu, SI Marcus… - 2019 IEEE Data …, 2019 - ieeexplore.ieee.org
State-space models are widely used to estimate latent dynamic processes from noisy and
low-dimensional observations. When applying these models to real data, it is commonly …

Auditory attention analysis during music listening: making the link between machine learning, electrophysiology and cognition

J Belo - 2022 - theses.hal.science
The ability to analyze complex auditory scenes is challenged in cochlear implant (CI) users,
especially in noisy environments or in presence of simultaneous auditory sources. This is …