On the influence of high-pass filtering on ICA-based artifact reduction in EEG-ERP
Standard artifact removal methods for electroencephalographic (EEG) signals are either
based on Independent Component Analysis (ICA) or they regress out ocular activity …
based on Independent Component Analysis (ICA) or they regress out ocular activity …
EEG dataset for RSVP and P300 speller brain-computer interfaces
As attention to deep learning techniques has grown, many researchers have attempted to
develop ready-to-go brain-computer interfaces (BCIs) that include automatic processing …
develop ready-to-go brain-computer interfaces (BCIs) that include automatic processing …
Visual P300 mind-speller brain-computer interfaces: a walk through the recent developments with special focus on classification algorithms
Brain-computer interfaces are sophisticated signal processing systems, which directly
operate on neuronal signals to identify specific human intents. These systems can be …
operate on neuronal signals to identify specific human intents. These systems can be …
Detection of mind wandering using EEG: Within and across individuals
Mind wandering is often characterized by attention oriented away from an external task
towards our internal, self-generated thoughts. This universal phenomenon has been linked …
towards our internal, self-generated thoughts. This universal phenomenon has been linked …
A computer-aided diagnosis system with EEG based on the P3b wave during an auditory odd-ball task in schizophrenia
L Santos-Mayo, LM San-José-Revuelta… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
Objective: To design a Computer-aided diagnosis (CAD) system using an optimized
methodology over the P3b wave in order to objectively and accurately discriminate between …
methodology over the P3b wave in order to objectively and accurately discriminate between …
Enhancing P300 detection using a band-selective filter bank for a visual P300 speller
Background: An open challenge of P300-based BCI systems focuses on recognizing ERP
signals using a reduced number of trials with enough classification rate. Methods: Three …
signals using a reduced number of trials with enough classification rate. Methods: Three …
EEG patterns of self-paced movement imaginations towards externally-cued and internally-selected targets
In this study, we investigate the neurophysiological signature of the interacting processes
which lead to a single reach-and-grasp movement imagination (MI). While performing this …
which lead to a single reach-and-grasp movement imagination (MI). While performing this …
Tactile and bone-conduction auditory brain computer interface for vision and hearing impaired users
TM Rutkowski, H Mori - Journal of Neuroscience Methods, 2015 - Elsevier
Background The paper presents a report on the recently developed BCI alternative for users
suffering from impaired vision (lack of focus or eye-movements) or from the so-called “ear …
suffering from impaired vision (lack of focus or eye-movements) or from the so-called “ear …
Best practice for single-trial detection of event-related potentials: Application to brain-computer interfaces
The detection of event-related potentials (ERPs) in the electroencephalogram (EEG) signal
is a fundamental component in non-invasive brain-computer interface (BCI) research, and in …
is a fundamental component in non-invasive brain-computer interface (BCI) research, and in …
Learning discriminative spatiospectral features of ERPs for accurate brain–computer interfaces
Constructing accurate predictive models is at the heart of brain-computer interfaces (BCIs)
because these models can ultimately translate brain activities into communication and …
because these models can ultimately translate brain activities into communication and …