A novel approach for classification of mental tasks using multiview ensemble learning (MEL)
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.07.050
Abstract: Abstract Brain-computer interface (BCI) is a domain, in which a person can send information without using any exterior nerve or muscles, just using their brain signal, called electroencephalography (EEG) signal. Multiview learning or data integration… read more here.
Keywords: multiview ensemble; classification; mental tasks; multiview ... See more keywords
State of art mental tasks classification based on electroencephalogram: a review.
Sign Up to like & getrecommendations! Published in 2023 at "Physiological measurement"
DOI: 10.1088/1361-6579/acd51b
Abstract: Electroencephalogram (EEG) plays an important role in analyzing different mental tasks and neurological disorders. Hence, it is a critical component for designing various applications, such as brain-computer interfaces, neurofeedback, etc. Mental task classification (MTC) is… read more here.
Keywords: classification; review; mtc techniques; state art ... See more keywords
A Novel Single-Character Visual BCI Paradigm With Multiple Active Cognitive Tasks
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Biomedical Engineering"
DOI: 10.1109/tbme.2019.2900555
Abstract: Objective: To introduce a novel event-related potential (ERP)-based brain–computer interface (BCI) paradigm with active mental tasks multiplying precise judgment and visual cognitive capacities and evaluate its performance. Methods: This study employed a paradigm with three… read more here.
Keywords: bci; active mental; judgment; bci paradigm ... See more keywords
EEG-Based Mental Tasks Recognition via a Deep Learning-Driven Anomaly Detector
Sign Up to like & getrecommendations! Published in 2022 at "Diagnostics"
DOI: 10.3390/diagnostics12122984
Abstract: This paper introduces an unsupervised deep learning-driven scheme for mental tasks’ recognition using EEG signals. To this end, the Multichannel Wiener filter was first applied to EEG signals as an artifact removal algorithm to achieve… read more here.
Keywords: recognition; learning driven; deep learning; mental tasks ... See more keywords