EEG‐based outcome prediction after cardiac arrest with convolutional neural networks: Performance and visualization of discriminative features
Sign Up to like & getrecommendations! Published in 2019 at "Human Brain Mapping"
DOI: 10.1002/hbm.24724
Abstract: Prognostication for comatose patients after cardiac arrest is a difficult but essential task. Currently, visual interpretation of electroencephalogram (EEG) is one of the main modality used in outcome prediction. There is a growing interest in… read more here.
Keywords: outcome; outcome prediction; eeg based; convolutional neural ... See more keywords
Consumers’ Preference Recognition Based on Brain–Computer Interfaces: Advances, Trends, and Applications
Sign Up to like & getrecommendations! Published in 2021 at "Arabian Journal for Science and Engineering"
DOI: 10.1007/s13369-021-05695-4
Abstract: Brain–computer interface (BCI) technology used to monitor conscious-brain electrical activity via electroencephalogram (EEG) signals has facilitated the detection of human preferences. Recently, great progress has been made in the development of novel paradigms and methods… read more here.
Keywords: eeg based; research; brain computer; bci technology ... See more keywords
Advanced EEG-based learning approaches to predict schizophrenia: Promises and pitfalls
Sign Up to like & getrecommendations! Published in 2021 at "Artificial intelligence in medicine"
DOI: 10.1016/j.artmed.2021.102039
Abstract: The complexity and heterogeneity of schizophrenia symptoms challenge an objective diagnosis, which is typically based on behavioral and clinical manifestations. Moreover, the boundaries of schizophrenia are not precisely demarcated from other nosologic categories, such as… read more here.
Keywords: schizophrenia; based learning; approaches predict; eeg based ... See more keywords
EEG based Major Depressive disorder and Bipolar disorder detection using Neural Networks: A review
Sign Up to like & getrecommendations! Published in 2021 at "Computer methods and programs in biomedicine"
DOI: 10.1016/j.cmpb.2021.106007
Abstract: Mental disorders represent critical public health challenges as they are leading contributors to the global burden of disease and intensely influence social and financial welfare of individuals. The present comprehensive review concentrate on the two… read more here.
Keywords: depressive disorder; neural networks; disorder; major depressive ... See more keywords
A Lasso quantile periodogram based feature extraction for EEG-based motor imagery
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Neuroscience Methods"
DOI: 10.1016/j.jneumeth.2019.108434
Abstract: BACKGROUND The extraction of relevant and distinct features from the electroencephalogram (EEG) signals is one of the most challenging task when implementing Brain Computer Interface (BCI) based systems. Frequency analysis techniques are recognised as one… read more here.
Keywords: motor imagery; motor; based motor; eeg based ... See more keywords
Deep learning for EEG-based biometric recognition
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.06.009
Abstract: Abstract The exploitation of brain signals for biometric recognition purposes has received significant attention from the scientific community in the last decade, with most of the efforts so far devoted to the quest for discriminative… read more here.
Keywords: biometric recognition; based biometric; deep learning; recognition ... See more keywords
Functional Complex Networks Based on Operational Architectonics: Application on EEG-based Brain–computer Interface for Imagined Speech
Sign Up to like & getrecommendations! Published in 2022 at "Neuroscience"
DOI: 10.1016/j.neuroscience.2021.11.045
Abstract: A new method for analyzing brain complex dynamics and states is presented. This method constructs functional brain graphs and is comprised of two pylons: a) Operational Architectonics (OA) concept of brain and mind functioning. b)… read more here.
Keywords: functional complex; method; eeg based; complex networks ... See more keywords
High-wearable EEG-based distraction detection in motor rehabilitation
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DOI: 10.1038/s41598-021-84447-8
Abstract: A method for EEG-based distraction detection during motor-rehabilitation tasks is proposed. A wireless cap guarantees very high wearability with dry electrodes and a low number of channels. Experimental validation is performed on a dataset from… read more here.
Keywords: eeg based; distraction detection; distraction; detection motor ... See more keywords
Trial by trial EEG based BCI for distress versus non distress classification in individuals with ASD
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DOI: 10.1038/s41598-021-85362-8
Abstract: Autism spectrum disorder (ASD) is a neurodevelopmental disorder that is often accompanied by impaired emotion regulation (ER). There has been increasing emphasis on developing evidence-based approaches to improve ER in ASD. Electroencephalography (EEG) has shown… read more here.
Keywords: trial; individuals asd; eeg based; non distress ... See more keywords
EEG-based measurement system for monitoring student engagement in learning 4.0
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DOI: 10.1038/s41598-022-09578-y
Abstract: A wearable system for the personalized EEG-based detection of engagement in learning 4.0 is proposed. In particular, the effectiveness of the proposed solution is assessed by means of the classification accuracy in predicting engagement. The… read more here.
Keywords: system; measurement system; engagement; eeg based ... See more keywords
A comprehensive review of EEG-based brain-computer interface paradigms.
Sign Up to like & getrecommendations! Published in 2019 at "Journal of neural engineering"
DOI: 10.1088/1741-2552/aaf12e
Abstract: Advances in brain science and computer technology in the past decade have led to exciting developments in brain-computer interface (BCI), thereby making BCI a top research area in applied science. The renaissance of BCI opens… read more here.
Keywords: based bci; computer interface; eeg based; brain ... See more keywords