نتایج جستجو برای: electroencephalographic signal

تعداد نتایج: 422284  

Journal: :Annals of the Academy of Medicine, Singapore 1998
K E Lee N K Loh A K Tan W L Lee H T Tjia

Focal electroencephalographic abnormalities as described in Heidenhain's variant of Creutzfeldt-Jakob disease are uncommon. We report a 73-year-old male presenting with visual symptoms, right hemianopia and rapidly progressive dementia. Myoclonus was synchronous with generalised periodic epileptiform discharges on electroencephalography (EEG). In addition, there were periodic focal sharp waves ...

Journal: :Neurocomputing 2006
Shiliang Sun Changshui Zhang

An optimal nonlinear feature extractor for extracting energy features under two different kinds of patterns is proposed. It carries out the simultaneous diagonalization of two signal covariance matrices in a high-dimensional kernel transformed space, and thus promises to find features which are more discriminant, especially when the original data have nonlinear structures. Two operations, white...

Journal: :CoRR 2018
Mario Michael Krell Anett Seeland Su Kyoung Kim

On image data, data augmentation is becoming less relevant due to the large amount of available training data and regularization techniques. Common approaches are moving windows (cropping), scaling, affine distortions, random noise, and elastic deformations. For electroencephalographic data, the lack of sufficient training data is still a major issue. We suggest and evaluate different approache...

2010
Ana Luísa Coito David Belo Teresa Paiva Miguel Sanches

Obstructive Sleep Apnea Syndrome (OSAS) is a very common sleep disorder that is associated with several neurocognitive impairments. The present study aims to assess the power spectral density before, during and after apnea episodes, through the use of autoregressive modeling of the electroencephalographic (EEG) multivariate signal obtained with Polysomnography. The results demonstrate that ther...

2003
Mingzhou Ding

There are two opposing hypotheses about the brain mechanisms underlying sensory event-related potentials (ERPs). One holds that sensory ERPs are generated by phase resetting of ongoing electroencephalographic (EEG) activity, and the other that they result fiom signal averaging of stimulus-evoked neural responses. We tested several contrasting predictions of these hypotheses by direct intracorti...

Journal: :Brain Sciences 2021

Electroencephalographic (EEG) signals evoked by transcranial magnetic stimulation (TMS) are usually recorded with passive electrodes (PE). Active electrode (AE) systems have recently become widely available; compared to PE, they allow for easier preparation and a higher-quality signal, due the preamplification at stage, which reduces electrical line noise. The performance between AE PE can diff...

2015
Bradley Skinner

Genetic-based Learning Classifier Systems have been proposed as a competent technology for the classification of medical data sets. What is not known about this class of system is two­ fold. Firstly, how does a Learning Classifier System (LCS) perform when applied to the single-step classification of multiple-channel, noisy, artefact-inclusive human EEG signals acquired from many participants? ...

Journal: :Stroke 2015
Guido Wassink Robert D Barrett Joanne O Davidson Laura Bennet Robert Galinsky Michael Dragunow Alistair J Gunn

BACKGROUND AND PURPOSE Electroencephalographic recovery is predictive of outcome after perinatal hypoxia-ischemia, but it is unknown whether early changes in electroencephalographic can predict the response to therapeutic hypothermia in the preterm brain. METHODS 0.7 gestation fetal sheep received umbilical cord occlusion or sham occlusion for 25 minutes, followed by sham hypothermia or whole...

2006
Antonino Greco Nadia Mammone Francesco Carlo Morabito Mario Versaci

The goal of this work is to improve the efficiency and the reliability of the automatic artifact rejection, in particular from the Electroencephalographic (EEG) recordings. Artifact rejection is a key topic in signal processing. The artifacts are unwelcome signals that may occur during the signal acquisition and that may alter the analysis of the signals themselves. A technique for the automati...

2016
Monica Fira Liviu Goras

In this paper, we propose a new compression method for electroencephalographic signals based on the concept of compressed sensing (CS) for the P300 detection spelling paradigm. The method uses a universal mega-dictionary which has been found not to be patient-specific. To validate the proposed method, electroencephalography recordings from the competition for Spelling, BCI Competition III Chall...

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