Statistically significant features improve binary and multiple Motor Imagery task predictions from EEGs
In recent studies, in the field of Brain-Computer Interface (BCI), researchers have focused on
Motor Imagery tasks. Motor Imagery-based electroencephalogram (EEG) signals provide the …
Motor Imagery tasks. Motor Imagery-based electroencephalogram (EEG) signals provide the …
EEG motor imagery classification using deep learning approaches in naïve BCI users
CD Guerrero-Mendez, CF Blanco-Diaz… - Biomedical Physics …, 2023 - iopscience.iop.org
Abstract Motor Imagery (MI)-Brain Computer-Interfaces (BCI) illiteracy defines that not all
subjects can achieve a good performance in MI-BCI systems due to different factors related …
subjects can achieve a good performance in MI-BCI systems due to different factors related …
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 …
Multiclass classification of motor imagery tasks based on multi-branch convolutional neural network and temporal convolutional network model
Motor imagery (MI) is a cognitive process wherein an individual mentally rehearses a
specific movement without physically executing it. Recently, MI-based brain–computer …
specific movement without physically executing it. Recently, MI-based brain–computer …
Brain-computer interface controlled functional electrical stimulation: Evaluation with healthy subjects and spinal cord injury patients
LG Hernandez-Rojas, J Cantillo-Negrete… - IEEE …, 2022 - ieeexplore.ieee.org
This work presents the design, implementation, and feasibility evaluation of a Motor Imagery
(MI) based Brain-Computer Interface (BCI) developed to control a Functional Electrical …
(MI) based Brain-Computer Interface (BCI) developed to control a Functional Electrical …
Coupling effects of cross-corticomuscular association during object manipulation tasks on different haptic sensations
The effects of corticomuscular connectivity during object manipulation tasks with different
haptic sensations have not been quantitatively investigated. Connectivity analyses enable …
haptic sensations have not been quantitatively investigated. Connectivity analyses enable …
Time-resolved EEG signal analysis for motor imagery activity recognition
BO Olcay, B Karaçalı - Biomedical Signal Processing and Control, 2023 - Elsevier
Accurately characterizing brain activity requires detailed feature analysis in the temporal,
spatial, and spectral domains. While previous research has proposed various spatial and …
spatial, and spectral domains. While previous research has proposed various spatial and …
Artificial Intelligence Applied to Neuromotor Rehabilitation Engineering: Advances and Challenges
CD Guerrero-Mendez, CF Blanco-Díaz… - … in Biomaterials and …, 2024 - taylorfrancis.com
In recent decades, the population of people with disabilities has had an exponential growth
due to the increase in pathologies that lead to an impairment in neuromotor functioning …
due to the increase in pathologies that lead to an impairment in neuromotor functioning …
EEG channel and feature investigation in binary and multiple motor imagery task predictions
Introduction Motor Imagery (MI) Electroencephalography (EEG) signals are non-stationary
and dynamic physiological signals which have low signal-to-noise ratio. Hence, it is difficult …
and dynamic physiological signals which have low signal-to-noise ratio. Hence, it is difficult …
Evaluation of temporal, spatial and spectral filtering in CSP-based methods for decoding pedaling-based motor tasks using EEG signals
CF Blanco-Díaz, CD Guerrero-Mendez… - Biomedical Physics …, 2024 - iopscience.iop.org
Stroke is a neurological syndrome that usually causes a loss of voluntary control of
lower/upper body movements, making it difficult for affected individuals to perform Activities …
lower/upper body movements, making it difficult for affected individuals to perform Activities …