Automatic artefact removal in a self-paced hybrid brain- computer interface system
نویسندگان
چکیده
منابع مشابه
A hybrid NIRS-EEG system for self-paced brain computer interface with online motor imagery.
BACKGROUND For a self-paced motor imagery based brain-computer interface (BCI), the system should be able to recognize the occurrence of a motor imagery, as well as the type of the motor imagery. However, because of the difficulty of detecting the occurrence of a motor imagery, general motor imagery based BCI studies have been focusing on the cued motor imagery paradigm. NEW METHOD In this pa...
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We present the self-paced 3-class Graz brain-computer interface (BCI) which is based on the detection of sensorimotor electroencephalogram (EEG) rhythms induced by motor imagery. Self-paced operation means that the BCI is able to determine whether the ongoing brain activity is intended as control signal (intentional control) or not (non-control state). The presented system is able to automatica...
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Bio signals based control system has been employed in to the biomedical devices and prosthetic limbs for improving the life of severely disabled and elderly people. Many Research papers and study of Brain computer interface (BCI) shows a huge potential of this field for future research. Conventional BCIs are not fully advance to operate in realtime applications due to high false positive rate, ...
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متن کاملA Study of Various Feature Extraction Methods on a Motor Imagery Based Brain Computer Interface System
Introduction: Brain Computer Interface (BCI) systems based on Movement Imagination (MI) are widely used in recent decades. Separate feature extraction methods are employed in the MI data sets and classified in Virtual Reality (VR) environments for real-time applications. Methods: This study applied wide variety of features on the recorded data using Linear Discriminant Analysis (LDA) classifie...
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ژورنال
عنوان ژورنال: Journal of NeuroEngineering and Rehabilitation
سال: 2012
ISSN: 1743-0003
DOI: 10.1186/1743-0003-9-50