Results 91 to 100 of about 721,188 (387)
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Quantitative markers of cortical excitability may help identify responders to anti‐seizure medications (ASMs). We studied the relationship between ASM load and two electroencephalography (EEG) markers of cortical excitability in people with refractory epilepsy. Methods We included individuals with refractory focal epilepsy undergoing
Silvano R. Gefferie +7 more
wiley +1 more source
Wavelet design by means of multi-objective GAs for motor imagery EEG analysis [PDF]
, 2011 Wavelet-based analysis has been broadly used in the study of brain-computer interfaces (BCI), but in most cases these wavelet functions have not been designed taking into account the requirements of this field.
Asensio-Cubero, J +3 more
core
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To investigate the reliability of very high‐frequency oscillations (VHFOs, 500–2000 Hz) as biomarkers in identifying the epileptogenic zone (EZ) in mesial temporal lobe epilepsy (MTLE) patients. Methods We reviewed 19 MTLE patients who underwent stereo‐electroencephalography‐guided radiofrequency thermocoagulation.
Stéphane Jean +10 more
wiley +1 more source
An Algorithm for the Continuous Morlet Wavelet Transform
, 2007 This article consists of a brief discussion of the energy density over time or frequency that is obtained with the wavelet transform. Also an efficient algorithm is suggested to calculate the continuous transform with the Morlet wavelet.
Caprioli +22 more
core +1 more source
ECG Classification Using Wavelet Packet Entropy and Random Forests
Entropy, 2016 The electrocardiogram (ECG) is one of the most important techniques for heart disease diagnosis. Many traditional methodologies of feature extraction and classification have been widely applied to ECG analysis.
Taiyong Li, M. Zhou
semanticscholar +1 more source
Groups, Wavelets, and Wavelet Sets
, 2003 Wavelet and frames have become a widely used tool in mathematics, physics, and applied science during the last decade. This article gives an overview over some well known results about the continuous and discrete wavelet transforms and groups acting on $\mathbb{R}^n$.
Olafsson, Gestur, Speegle, Darrin
openaire +2 more sources
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Sleep spindles are an electrophysiological fingerprint of the sleeping human brain. They can be described in terms of duration, frequency, amplitude, and density, and vary widely according to age and sex. Spindles play a role in sleep and wake functions and are altered in several neurological and psychiatric disorders.
Julien Coelho +8 more
wiley +1 more source
A New Approach of Power System Protection Based on Wavelet Transformation [PDF]
Journal of Electrical and Electronics Engineering, 2016 Wavelet transformation has been used in many protection applications such as transmission lines, transformers and generators protection. In the previous researches, the technique of wavelet protection was applied only to protect one element of the power ...
EID Gouda, MOHAMED S. Hasan
doaj
International Journal of Applied Mathematics and Computer Science, 2016 BitTorrent splits the files that are shared on a P2P network into fragments and then spreads these by giving the highest priority to the rarest fragment.
Napoli Christian +2 more
doaj +1 more source
WAVELETS AND WAVELET FRAMES ON THE 2-SPHERE
Contemporary Problems in Mathematical Physics, 2006 We review the construction of the continuous wavelet transform (CWT) on the 2-sphere by two methods, the group-theoretical approach and the geometrical method based on conformal invariance. Then we discuss the discretization of the spherical CWT and build associated discrete wavelet frames, first half-continuous ones (only the scale is discretized ...
openaire +3 more sources