Driving fatigue recognition with functional connectivity based on phase synchronization
Accumulating evidences showed that the optimal brain network topology was altered with
the progression of fatigue during car driving. However, the extent of the discriminative power …
the progression of fatigue during car driving. However, the extent of the discriminative power …
Cognitive reorganization due to mental workload: A functional connectivity analysis based on working memory paradigms
Mental workload has a major effect on the individual's performance in most real-world tasks,
which can lead to significant errors in critical operations. On this premise, the analysis and …
which can lead to significant errors in critical operations. On this premise, the analysis and …
Single trial detection of error-related potentials in brain–machine interfaces: a survey and comparison of methods
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 …
perceive an error. ErrPs have been researched in a variety of contexts, such as to increase …
Early prediction of planning adaptation requirement indication due to volumetric alterations in head and neck cancer radiotherapy: a machine learning approach
Simple Summary Early prediction of significant alterations of head and neck (HN) cancer
volume due to radiation therapy (RT) could provide an indication for necessary planning …
volume due to radiation therapy (RT) could provide an indication for necessary planning …
Towards interactive reinforcement learning with intrinsic feedback
Reinforcement learning (RL) and brain–computer interfaces (BCI) have experienced
significant growth over the past decade. With rising interest in human-in-the-loop (HITL) …
significant growth over the past decade. With rising interest in human-in-the-loop (HITL) …
Detection of error-related potentials in stroke patients from EEG using an artificial neural network
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 …
computer interface (BCI) performance by either correcting an incorrect action performed by …
Error-related potential variability: Exploring the effects on classification and transferability
Brain-Computer Interfaces (BCI) have allowed for direct communication from the brain to
external applications for the automatic detection of cognitive processes such as error …
external applications for the automatic detection of cognitive processes such as error …
Towards the classification of error-related potentials using riemannian geometry
The error-related potential (ErrP) is an event-related potential (ERP) evoked by an
experimental participant's recognition of an error during task performance. ErrPs, originally …
experimental participant's recognition of an error during task performance. ErrPs, originally …
Unraveling Imaginary and Real Motion: A Correlation Indices Study in BCI Data
The efficient translation of brain signals into an output device is an essential characteristic to
establish a Brain-computer Interface (BCI) link. This research investigates the applicability of …
establish a Brain-computer Interface (BCI) link. This research investigates the applicability of …
Brain Signals to Actions Using Machine Learning
This research presents a machine learning model that predicts left, right, or no action using
electroencephalography (EEG) signals extracted from two different wearable EEG headsets …
electroencephalography (EEG) signals extracted from two different wearable EEG headsets …