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 …
Lower-limb kinematic reconstruction during pedaling tasks from eeg signals using unscented kalman filter
CF Blanco-Díaz, CD Guerrero-Mendez… - Computer Methods in …, 2024 - Taylor & Francis
Kinematic reconstruction of lower-limb movements using electroencephalography (EEG)
has been used in several rehabilitation systems. However, the nonlinear relationship …
has been used in several rehabilitation systems. However, the nonlinear relationship …
The Human–Machine Interface Design Based on sEMG and Motor Imagery EEG for Lower Limb Exoskeleton Assistance System
In the lower limb exoskeleton assistance system, motion intention understanding based on
biological signals is the human–computer interface's (HMIs) key technology. Due to the …
biological signals is the human–computer interface's (HMIs) key technology. Due to the …
[HTML][HTML] Roborueda: Python-based GUI to control a wheelchair and monitor user posture
Neck and/or head movements play an important role in the control of assistive devices such
as robotic wheelchairs, considering these systems allow the acquisition of intentionality …
as robotic wheelchairs, considering these systems allow the acquisition of intentionality …
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 …
[HTML][HTML] Improving the performance of SSVEP-BCI contaminated by physiological noise via adversarial training
Brain-computer interface (BCI) based on Steady-State Visual Evoked Potentials (SSVEP)
provides an effective method for human-computer communication. In practical application …
provides an effective method for human-computer communication. In practical application …
The Effect of Caffeine on Movement-Related Cortical Potential Morphology and Detection
M Jochumsen, ER Lavesen, AB Griem… - Sensors, 2024 - mdpi.com
Movement-related cortical potential (MRCP) is observed in EEG recordings prior to a
voluntary movement. It has been used for eg, quantifying motor learning and for brain …
voluntary movement. It has been used for eg, quantifying motor learning and for brain …
On the use of power-based connectivity between EEG and sEMG signals for three-weight classification during object manipulation tasks
CD Guerrero-Mendez, CF Blanco-Díaz… - Research on Biomedical …, 2024 - Springer
Abstract Purpose Brain-machine interfaces (BMIs) have been used for motor rehabilitation of
complex movements, such as those based on object manipulation. However, task …
complex movements, such as those based on object manipulation. However, task …
Detection of pedaling tasks through EEG using extreme learning machine for lower-limb rehabilitation brain-computer interfaces
CF Blanco-Díaz, CD Guerrero-Méndez… - … on Applications of …, 2023 - ieeexplore.ieee.org
Brain-Computer Interfaces (BCI) are systems that may function as communication channels
between people and external devices through brain information. BCIs using …
between people and external devices through brain information. BCIs using …