Methods for rapid and objective quantification of interictal spikes in raw, unprocessed electroencephalogram (EEG) samples are scarce. We evaluated the accuracy of a tailored automated spike quantification algorithm. The automated quantification was compared with the quantification by two board-certified clinical neurophysiologists (gold-standard) in five steps: 1) accuracy in a single EEG chan...

Pathological slowing in the electroencephalogram (EEG) is widely investigated for diagnosis of neurological disorders. Currently, gold standard detection visual inspection EEG by experts, which time-consuming and subjective. To address those issues, we propose three automated approaches to detect EEG: Threshold-based Detection System (TDS), Shallow Learning-based (SLDS), Deep (DLDS). These syst...

In this paper we present a technique to suppress ocular artefacts in the EEG (electroencephalogram) based on a combination of local and global correction algorithms. The results are promising when considering distortion, interference and artefact suppression ratios.

introduction: evoked potentials arisen by stimulating the brain can be utilized as a communication tool  between humans and machines. most brain-computer interface (bci) systems use the p300 component,  which is an evoked potential. in this paper, we evaluate the use of the hidden markov model (hmm) for  detection of p300.  materials and methods: the wavelet transforms, wavelet-enhanced indepen...

Electroencephalogram (EEG) recording is essential in the evaluation of complex movement and behaviors during sleep, but particular for differentiating epileptic versus nonepileptic events. In general, epileptiform discharges occur with greater density first few nonerapid eye cycles, approximately 12% to 20% seizures exclusively at night. This review examines epilepsy types syndromes whose prese...

The epileptogenic activity of imipenem was investigated in rats with experimental renal failure induced by uranyl nitrate injection by using electroencephalogram (EEG) recording and a pharmacokinetic-pharmacodynamic model including an effect compartment. Results previously obtained with healthy rats were used to estimate the dose of imipenem required to induce an observable but nonlethal EEG ef...

In this paper the possibility of the electroencephalogram (EEG) compressed sensing based on specific dictionaries is presented. Several types of projection matrices (matrices with random i.i.d. elements sampled from the Gaussian or Bernoulli distributions, and matrices optimized for the particular dictionary used in reconstruction by means of appropriate algorithms) have been compared. The resu...

The author reviews the use of operant conditioning to alter electroencephalogram (EEG) patterns. A discrete rhythmic EEG pattern directly related to modulation of motor patterns (sensorimotor rhythm, SMR) was brought under voluntary control in the cat. This technique was modified for use in epileptic human volunteers in order to reduce motor seizures. The use of a newer experimental design and ...

In this study, we investigated the electroencephalogram (EEG) dynamics in normal and epileptic subjects using three newly defined quantifiers adapted from nonlinear dynamics and Hilbert transform scatter plots (HTSPs): dispersion entropy (DispEntropy), dispersion complexity (Disp Comp), and forbidden count (FC), hypothesizing that analysis of electroencephalogram (EEG) signals using nonlinear a...

— The objective of this paper is to characterize the spontaneous electroencephalogram (EEG) signals of four different motor imagery tasks and to show hereby a possible solution for the present binary communication between the brain and a machine or a brain-computer interface (BCI). The processing technique used in this paper was the fractal analysis evaluated by the critical exponent method (CE...