Channel selection methods for the P300 Speller
نویسندگان
چکیده
منابع مشابه
New Methods for the P300 Visual Speller
Brain-Computer Interfaces (BCI ’s) enable us to infer intentional control signals from brain activity. The Visual Speller is a BCI based on event related potentials (ERP ’s) in the electroencephalogram, such as the P300 (a positive deflection in the EEG about 300 ms after a rarely occuring stimulus). In the classical paradigm one trial (i.e. prediction of one symbol) consists of successive high...
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Brain-computer interfaces (BCI) are communication system that use brain activities to control a device. The BCI studied is based on the P300 speller [1]. A new algorithm to select relevant sensors is proposed: it is based on a previous proposed algorithm [2] used to enhance P300 potentials by spatial filters. Data recorded on three subjects were used to evaluate the proposed selection method: i...
متن کاملSensors selection for P300 speller brain computer interface
Brain-computer interfaces (BCI) are communication system that use brain activities to control a device. The BCI studied is based on the P300 speller [1]. A new algorithm to select relevant sensors is proposed: it is based on a previous proposed algorithm [2] used to enhance P300 potentials by spatial filters. Data recorded on three subjects were used to evaluate the proposed selection method: i...
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In this paper, we address the important problem of channel selection for a P300-based brain computer interface (BCI) speller system in the situation of insufficient training data with labels. An iterative semi-supervised support vector machine (SVM) is proposed for time segment selection as well as classification, in which both labeled training data and unlabeled test data are utilized. The per...
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The P300 Speller has proven to be an effective paradigm for braincomputer interface (BCI) communication. Using this paradigm, studies have shown that a simple linear classifier can perform as well as more complex nonlinear classifiers. Several studies have examined methods such as Fisher’s Linear Discriminant (FLD), Stepwise Linear Discriminant Analysis (SWLDA), and Support Vector Machines (SVM...
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ژورنال
عنوان ژورنال: Journal of Neuroscience Methods
سال: 2014
ISSN: 0165-0270
DOI: 10.1016/j.jneumeth.2014.04.009