نتایج جستجو برای: eeg spectral features
تعداد نتایج: 700898 فیلتر نتایج به سال:
EEG was recorded from right and left frontal leads during bilateral (n=11) and unilateral (n=l4) ECTs. The seizure EEG was analyzed using East Fourier 'Transform and the spectral power oj the Delta (1-4 Hz) band was computed. The spectral power on both sides was similar in the bilateral ECT. Unilateral ECT produced asymmetry in the early - (first 8 seconds after stimulus offset) and mid - (17-3...
bivariate features, obtained from multichannel electroencephalogram (eeg) recordings, quantify the relation between different brain regions. studies based on bivariate features have shown optimistic results for tackling epileptic seizure prediction problem in patients suffering from refractory epilepsy. a new bivariate approach using univariate features is proposed here. differences and ratios ...
This paper presents a comparison between the electroencephalogram (EEG) channels during scoliosis correction surgeries. Surgeons use many hand tools and electronic devices that directly affect the EEG channels. These noises do not affect the EEG channels uniformly. This research provides a complete system to find the least affected channel by the noise. The presented system consists of five sta...
Here we describe a methodological approach for the simultaneous electroencephalographic (EEG) recording in musicians playing in ensemble. Four professional saxophonists wore pre-wired EEG caps (30 electrodes placed according to an augmented 10-20 system; cephalic reference and ground). Each cap was connected to a single multi-channel amplifier box [Brain Explorer (BE), EB-Neuro(©)]. The four bo...
Nonnegative matrix factorization (NMF) is an algorithm used for blind source separation. It has been reported that NMF algorithms can be utilized as an effective means to extract features from a motor-imagery related EEG spectrum, which is often used in brain-computer interfaces (BCI). BCI systems enable users to control electrical devices without moving their body parts, and are often tasked w...
Hyperspectral sensors are important tools in monitoring the phenomena of the Earth due to the acquisition of a large number of spectral bands. Hyperspectral image classification is one of the most important fields of hyperspectral data processing, and so far there have been many attempts to increase its accuracy. Spatial features are important due to their ability to increase classification acc...
OBJECTIVE The effects on cortical rhythms of a single-dose (30 microg/kg) administration of the GABAA agonist lorazepam were examined in a randomized, double-blind, cross-over, placebo-controlled study with 8 healthy volunteers using simultaneous electroencephalography (EEG) and magnetoencephalography (MEG). METHODS The oscillations were assessed by means of adaptive classification of short-t...
An Improved Method for Classification of Epileptic EEG Signals based on Spectral Features using k-NN
electroencephalogram (eeg) is one of the useful biological signals to distinguish different brain diseases and mental states. in recent years, detecting different emotional states from biological signals has been merged more attention by researchers and several feature extraction methods and classifiers are suggested to recognize emotions from eeg signals. in this research, we introduce an emot...
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