The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Multi-channel electroencephalography (EEG) recordings require excessive computation and sometimes engender outliers, which make brain computer interface (BCI) systems inefficient. Thus, optimal channel selection becomes a key factor for developing a more comfortable BCI. This study emphasized on a time-frequency (T-F) coherence method, called as Wavelet Coherence (WC), for selecting lesser number...
Analysis of electroencephalograms (EEG) usually suffers from a variety of noises. In this paper, we propose a new method for background noise removal from single-trial event-related potentials (ERPs) recorded with a multi-channel EEG. An observed signal is separated into multiple signals with a multi-channel Wiener filter, whose coefficients are estimated based on a probabilistic generative model...
A newly brain computer interaction (BCI) system which combined electrooculography (EOG) with electroencephalography (EEG) was designed and realized to make prosthesis control with multicontrol commands come true. Based on two different imaginary tasks, time-frequency spectrum and brain topographic mapping were used to analyze and validate event related synchronization/desychronization (ERS/ERD). Obviously...
Aiming the mental tasks recognition tasks in brain computer interface (BCI), this paper proposes an Electroencephalography (EEG) feature extraction method which makes use of the discriminative common spatial patterns (CSP). Apart from CSP analysis's traditional application in time domain, it is extended to consider frequency domain information of EEG signal. After an artifact removal through the independent...
Event-related potentials (ERPs) of electroencephalogram (EEG) are often used as features for brain machine interfaces or for analysis of brain activities. However, as EEG signals easily suffer from various artifacts, ERPs are often collapsed and hard to observe. There are several attempts at using multi-channel EEG signals to enhance EEG signals of interest and make ERPs more clearly observed. For...
The purpose of this study is to classify perceptual electroencephalography (EEG) data of words into appropriate class. We recorded EEG data from six native Korean speakers at Gwangju Institute of Science and Technology. Three words (/Lemon/, /Mother/, and /Toilet/) were chosen for stimuli. We applied IIR bandpass filter for extracting alpha bands activities from raw EEG data and common spatial pattern...
The EEG recordings contain dynamic information inherent to its nature, therefore, the accurate estimation of neural activity is highly dependent on the inclusion of such information in the inverse problem solution. The present study proposes the inclusion of informative priors into a Kalman filter based solution, aimed to include the different dynamics present on the data. This is achieved by decomposing...
A new approach for modelling multichannel signals via hidden states models in the time-frequency space is described. Multichannel signals are expanded using a local cosine basis, and the (time-frequency labelled) coefficients are modelled as multivariate random variables, whose distribution is governed by a (hidden) Markov chain. Several models are described, together with maximum likelihood estimation...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.