The performance of EEG-based Brain-Computer-Interfaces (BCIs) critically depends on the extraction of features from the EEG carrying information relevant for the classification of different mental states. For BCIs employing imaginary movements of different limbs, the method of Common Spatial Patterns (CSP) has been shown to achieve excellent classification results. The CSP-algorithm however suf...

Common spatial patterns (CSP) has proved to be very successful in EEG feature extraction. To relax the presumption of strictly linear patterns in the CSP, nonlinear variants of the approach are proposed using the kernel method. However, they typically suffer from twomain drawbacks: the problem of complexity and low generalization ability dealing with different subjects. To overcome these drawba...

Electroencephalography (ΕΕG) is considered as one of the famous and efficient used methods in Brain Computer Interface (ΒCI). This due to its simplicity for implementation, low cost being portable. The ΕΕG a technique that examines electrical activity brain using non-invasive electrodes placed on scalp. ΕΕG-based BCI system constituted five blocks: signal acquisition, preprocessing, feature ext...

OBJECTIVE This study aims (1) to develop an automated and fast approach for detecting visual evoked potentials (VEPs) in single trials and (2) to apply the single-trial VEP detection approach in designing a real-time and high-performance brain-computer interface (BCI) system. METHODS The single-trial VEP detection approach uses common spatial pattern (CSP) as a spatial filter and wavelet filt...

Introduction: In most BCI articles which aim to separate movement imaginations, µ and &beta frequency bands have been used. In this paper, the effect of presence and absence of &gamma band on performance improvement is discussed since movement imaginations affect &gamma frequency band as well. Methods: In this study we used data set 2a from BCI Competition IV. In this data set, 9 healthy sub...

the population density and spatial distribution pattern of empoasca decipiens paoli were etermined in tehran area, iran, during 2004-2005 on four species of common bean phaseolus vulgaris (l.) var. talash, lima bean p. lunatus (l.) savi ex hassk. var. sadaf, rice bean p. calcaratus roxb. var. goli and cowpea vigna sinensis (l.) var. parastoo. the higher and lower mean population densities of e....

EEG single-trial analysis requires methods that are robust with respect to noise, artifacts and nonstationarity among other problems. This work contributes by developing a minimax approach to robustify the common spatial patterns (CSP) algorithm. By optimizing the worst-case objective function within a prefixed set of the covariance matrices , we can transform the respective complex mathematica...

Brain computer interfaces (BCIs) have been attracting a great interest in recent years. The common spatial patterns (CSP) technique is a well-established approach to the spatial filtering of the electroencephalogram (EEG) data in BCI applications. Even though CSP was originally proposed from a heuristic viewpoint, it can be also built on very strong foundations using information theory. This pa...

Electroencephalographic single-trial analysis requires methods that are robust with respect to noise, artifacts and non-stationarity among other problems. This work contributes by developing a maxmin approach to robustify the common spatial patterns (CSP) algorithm. By optimizing the worst-case objective function within a prefixed set of the covariance matrices, we can transform the respective ...