Výsledky vyhledávání - "Special Issue: Current Trends in Cognitive Science and Brain Computing Research and Applications"
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Motor imagery BCI classification based on novel two-dimensional modelling in empirical wavelet transform
ISSN: 0013-5194, 1350-911X, 1350-911XVydáno: The Institution of Engineering and Technology 10.12.2020Vydáno v Electronics letters (10.12.2020)“…Brain complexity and non-stationary nature of electroencephalography (EEG) signal make considerable challenges for the accurate identification of different…”
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Diagnosis of autism spectrum disorder from EEG using a time–frequency spectrogram image-based approach
ISSN: 0013-5194, 1350-911X, 1350-911XVydáno: The Institution of Engineering and Technology 10.12.2020Vydáno v Electronics letters (10.12.2020)“… to identify autism, which is time consuming, costly, subject to human error, and reduces decision-making reliability…”
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Protection of BCI system via reversible watermarking of EEG signal
ISSN: 0013-5194, 1350-911X, 1350-911XVydáno: The Institution of Engineering and Technology 10.12.2020Vydáno v Electronics letters (10.12.2020)“… BCI requires recording of electroencephalogram (EEG) from the subject in order to control electrical devices…”
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Brain–computer interface-based single trial P300 detection for home environment application
ISSN: 0013-5194, 1350-911X, 1350-911XVydáno: The Institution of Engineering and Technology 10.12.2020Vydáno v Electronics letters (10.12.2020)“…P300 speller-based brain–computer interface (BCI) is an immediate correspondence between the human brain and computer that depends on the translation of mind reactions produced by the stimulus of a subject utilising the P300 speller…”
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Prefrontal haemodynamics based classification of inter-individual working memory difference
ISSN: 0013-5194, 1350-911X, 1350-911XVydáno: The Institution of Engineering and Technology 10.12.2020Vydáno v Electronics letters (10.12.2020)“… A functional near-infrared spectroscopy with sampling frequency ∼2 Hz is used to record the blood oxyhaemoglobin and deoxyhaemoglobin signals from 19 subjects engaged…”
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