A method for optimizing EEG electrode number and configuration for signal acquisition in P300 speller systems

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A method for optimizing EEG electrode number and configuration for signal acquisition in P300 speller systems.

OBJECTIVE The P300 speller is intended to restore communication to patients with advanced neuromuscular disorders, but clinical implementation may be hindered by several factors, including system setup, burden, and cost. Our goal was to develop a method that can overcome these barriers by optimizing EEG electrode number and placement for P300 studies within a population of subjects. METHODS A...

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Optimizing the EEG Electrode Configuration for Signal Acquisition in P300 Speller Systems

HE P300 speller is a brain-computer interface (BCI) system that restores communication ability to “locked-in” patients by detecting evoked responses to visual stimuli in the user’s electroencephalogram (EEG) signal [1]. Choosing the optimal placement and number of electrodes is essential in any EEG system as it balances the amount of available data against the set-up time and the amount of comp...

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Semi-Supervised Clustering Approach for P300 based BCI Speller Systems

The paper presents a k-means based semi-supervised clustering approach for recognizing and classifying P300 signals for BCI Speller System. P300 signals are proved to be the most suitable Event Related Potential (ERP) signal, used to develop the BCI systems. Due to non-stationary nature of ERP signals, the wavelet transform is the best analysis tool for extracting informative features from P300...

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Ensemble SWLDA Classifiers for the P300 Speller

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: Clinical Neurophysiology

سال: 2015

ISSN: 1388-2457

DOI: 10.1016/j.clinph.2014.09.021