EEG Signal Processing for Real Applications
نویسندگان
چکیده
منابع مشابه
EEG signal processing methods for BCI applications
Brain-computer interface (BCI) is a communication system that translates brain activity into commands for a computer or other digital device. The majority of BCI systems work by reading and interpreting cortically-evoked electro-potentials (“brain waves”) via an electroencephalogram (EEG) data. The EEG data is inherently complex. The signals are non-linear, non-stationary and therefore difficul...
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At the presentmoment, threemethods can record functional and physiological changes within the brain with high temporal resolution of neuronal interactions at the network level: the electroencephalogram (EEG), the magnetoencephalogram (MEG), and functional magnetic resonance imaging (fMRI); each of these has advantages and shortcomings. MEG is not practical for experimental work when subjects ma...
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ژورنال
عنوان ژورنال: Journal of Signal Processing
سال: 2016
ISSN: 1342-6230,1880-1013
DOI: 10.2299/jsp.20.1