ICA-Based Imagined Conceptual Words Classification on EEG Signals
نویسندگان
چکیده
منابع مشابه
ICA-Based Imagined Conceptual Words Classification on EEG Signals
Independent component analysis (ICA) has been used for detecting and removing the eye artifacts conventionally. However, in this research, it was used not only for detecting the eye artifacts, but also for detecting the brain-produced signals of two conceptual danger and information category words. In this cross-sectional research, electroencephalography (EEG) signals were recorded using Microm...
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In this study, a Brain-Computer Interface (BCI) in Silent-Talk application was implemented. The goal was an electroencephalograph (EEG) classifier for three different classes including two imagined words (Man and Red) and the silence. During the experiment, subjects were requested to silently repeat one of the two words or do nothing in a pre-selected random order. EEG signals were recorded by ...
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Electroencephalography (EEG), which contains cortical potentials during various mental processes, can be used to provide neural input signals to activate a brain machine interface (BMI). The effectiveness of such an EEG-based prosthetic system would rely on correct classification of executed motor signals from imagined motor movement signals; an executed motor signal should initiate movement in...
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ژورنال
عنوان ژورنال: Journal of Medical Signals & Sensors
سال: 2017
ISSN: 2228-7477
DOI: 10.4103/jmss.jmss_56_16