Artificial intelligence algorithms in visual evoked potential-based brain-computer interfaces for motor rehabilitation applications: systematic review and future directions
J Gutierrez-Martinez, JA Mercado-Gutierrez… - Frontiers in human …, 2021 - frontiersin.org
Brain-Computer Interface (BCI) is a technology that uses electroencephalographic (EEG)
signals to control external devices, such as Functional Electrical Stimulation (FES). Visual …
signals to control external devices, such as Functional Electrical Stimulation (FES). Visual …
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 …
Exploring dimensionality reduction of EEG features in motor imagery task classification
PJ García-Laencina, G Rodríguez-Bermudez… - Expert Systems with …, 2014 - Elsevier
Abstract A Brain-Computer Interface (BCI) system based on motor imagery (MI) identifies
patterns of electrical brain activity to predict the user intention while certain movement …
patterns of electrical brain activity to predict the user intention while certain movement …
Bayesian inferences on neural activity in EEG-based brain-computer interface
A brain-computer interface (BCI) is a system that translates brain activity into commands to
operate technology. A common design for an electroencephalogram (EEG) BCI relies on the …
operate technology. A common design for an electroencephalogram (EEG) BCI relies on the …
A generic transferable EEG decoder for online detection of error potential in target selection
Reliable detection of error from electroencephalography (EEG) signals as feedback while
performing a discrete target selection task across sessions and subjects has a huge scope …
performing a discrete target selection task across sessions and subjects has a huge scope …
A regional smoothing block sparse bayesian learning method with temporal correlation for channel selection in p300 speller
The P300-based brain–computer interfaces (BCIs) enable participants to communicate by
decoding the electroencephalography (EEG) signal. Different regions of the brain …
decoding the electroencephalography (EEG) signal. Different regions of the brain …
Algorithmic clustering based on string compression to extract P300 structure in EEG signals
Background and objectives: P300 is an Event Related Potential control signal widely used in
Brain Computer Interfaces. Using the oddball paradigm, a P300 speller allows a human to …
Brain Computer Interfaces. Using the oddball paradigm, a P300 speller allows a human to …
A low-cost computational method for characterizing event-related potentials for BCI applications and beyond
Event-related potentials (ERPs) are important neurophysiological markers widely used in
scientific, medical and engineering contexts. Proper ERP detection contributes to widening …
scientific, medical and engineering contexts. Proper ERP detection contributes to widening …
Stimuli and feature extraction algorithms for brain-computer interfaces: a systematic comparison
M Bittencourt-Villalpando… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
A brain-computer interface (BCI) is a system that allows communication between the central
nervous system and an external device. The BCIs developed by various research groups …
nervous system and an external device. The BCIs developed by various research groups …
Individualized Electrode Subset Improves the Calibration Accuracy of an EEG P300-design Brain-Computer Interface for People with Severe Cerebral Palsy
Objective This study examined the effect of individualized electroencephalogram (EEG)
electrode location selection for non-invasive P300-design brain-computer interfaces (BCIs) …
electrode location selection for non-invasive P300-design brain-computer interfaces (BCIs) …