Development of a ternary hybrid fNIRS-EEG brain–computer interface based on imagined speech

A Rezazadeh Sereshkeh, R Yousefi… - Brain-Computer …, 2019 - Taylor & Francis
There is increasing interest in developing intuitive brain-computer interfaces (BCIs) to
differentiate intuitive mental tasks such as imagined speech. Both electroencephalography …

Online asynchronous detection of error-related potentials in participants with a spinal cord injury using a generic classifier

C Lopes-Dias, AI Sburlea, K Breitegger… - Journal of Neural …, 2021 - iopscience.iop.org
For brain–computer interface (BCI) users, the awareness of an error is associated with a
cortical signature known as an error-related potential (ErrP). The incorporation of ErrP …

Single trial detection of error-related potentials in brain–machine interfaces: a survey and comparison of methods

M Yasemin, A Cruz, UJ Nunes… - Journal of Neural …, 2023 - iopscience.iop.org
Objective. Error-related potential (ErrP) is a potential elicited in the brain when humans
perceive an error. ErrPs have been researched in a variety of contexts, such as to increase …

Detection of error-related potentials in stroke patients from EEG using an artificial neural network

N Usama, IK Niazi, K Dremstrup, M Jochumsen - Sensors, 2021 - mdpi.com
Error-related potentials (ErrPs) have been proposed as a means for improving brain–
computer interface (BCI) performance by either correcting an incorrect action performed by …

A generic error-related potential classifier offers a comparable performance to a personalized classifier

C Lopes-Dias, AI Sburlea… - 2020 42nd Annual …, 2020 - ieeexplore.ieee.org
Brain-computer interfaces (BCIs) provide more independence to people with severe motor
disabilities but current BCIs' performance is still not optimal and often the user's intentions …

A condition-independent framework for the classification of error-related brain activity

I Kakkos, EM Ventouras, PA Asvestas… - Medical & Biological …, 2020 - Springer
The cognitive processing and detection of errors is important in the adaptation of the
behavioral and learning processes. This brain activity is often reflected as distinct patterns of …

Machine Learning from Mistakes: Self-Improving Attention Classifier Using Error-Related Potentials

LM Vortmann, T Urban, F Putze - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
The detection of an individual's attentional state via a Brain-Computer Interface (BCI) holds
significant promise, offering a multitude of possibilities, including enhancing the usability of …

Emotional error signals in the brain: a BCI approach

FIC Botinas - 2022 - estudogeral.uc.pt
Error monitoring is an automatic and highly important process in our daily life, especially in
situations where affective information is involved. Facial expressions constitute one of the …

A Hybrid Brain-Computer Interface using P300 and Steady State Visual Evoked Potentials

M Goncalves Mussi - 2022 - era.library.ualberta.ca
BACKGROUND: Children experiencing neurological impairment can experience limitations
in their functional abilities. For people with severe physical disabilities, brain-computer …

[PDF][PDF] Kumulative Dissertation

LM Vortmann - scholar.archive.org
Zusammenfassung Die Geschwindigkeit des technischen Fortschritts im 21. Jahrhundert ist
kaum zu vergleichen mit allem zuvor Gewesenen. Eine Innovation folgt auf die andere, denn …