Results 41 to 50 of about 100,182 (299)

Comparison of Automated Machine Learning (AutoML) Tools for Epileptic Seizure Detection Using Electroencephalograms (EEG)

open access: yesComputers, 2023
Epilepsy is a neurological disease characterized by recurrent seizures caused by abnormal electrical activity in the brain. One of the methods used to diagnose epilepsy is through electroencephalogram (EEG) analysis.
Swetha Lenkala   +4 more
doaj   +1 more source

Techniques to Assess Stationarity and Gaussianity of EEG: An Overview [PDF]

open access: yesInternational Journal Bioautomation, 2012
Often, while analyzing naturally generated signals (such as speech, seismogram, electroencephalogram, etc.), questions of stationarity and Gaussianity (normality) arise.
Fahrettin F. Gonen, Gleb V. Tcheslavski
doaj  

Difference in spectral power density of sleep electroencephalography in individuals with or without insomnia

open access: yesEuropean Psychiatry, 2022
Introduction Power spectral analysis is the most common method of quantitative electroencephalogram (qEEG) techniques and enables investigation of the microstructure of insomnia.
J.M. Kang, S.-E. Cho, S.-G. Kang
doaj   +1 more source

Efficient Methods for Calculating Sample Entropy in Time Series Data Analysis [PDF]

open access: yes, 2018
Recently, different algorithms have been suggested to improve Sample Entropy (SE) performance. Although new methods for calculating SE have been proposed, so far improving the efficiency (computational time) of SE calculation methods has not been ...
Bhavsar, Ronakben   +5 more
core   +2 more sources

Development of NMDA receptors contributes to the enhancement of electroencephalogram oscillations under volatile anesthetics in rats

open access: yesFrontiers in Neural Circuits, 2022
BackgroundVolatile anesthetics including sevoflurane and isoflurane enhance oscillations of cortical electroencephalogram (EEG), partly by their modulations on glutamate-mediated excitatory synaptic transmission. Expression of NMDA receptors is increased
Mingyue Zhang   +11 more
doaj   +1 more source

Flexible electroencephalogram (EEG) headband [PDF]

open access: yes, 1973
Headband incorporates sensors which are embedded in sponges and are exposed only on surface that touches skin. Electrode sponge system is continually fed electrolyte through forced feed vacuum system.
Raggio, L. J.
core   +1 more source

AR2, a novel automatic muscle artifact reduction software method for ictal EEG interpretation: Validation and comparison of performance with commercially available software. [PDF]

open access: yes, 2017
Objective: To develop a novel software method (AR2) for reducing muscle contamination of ictal scalp electroencephalogram (EEG), and validate this method on the basis of its performance in comparison to a commercially available software method (AR1) to ...
Ambrose, Timothy   +31 more
core   +3 more sources

Prognostic Implications of Sleep Architecture for Patients Admitted to the Intensive Care Unit With Status Epilepticus

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Status epilepticus (SE) is associated with significant mortality. Sleep architecture may reflect normal brain function. Impaired sleep architecture is associated with poorer outcomes in numerous conditions. Here we investigate the association of sleep architecture in continuous EEG (cEEG) with survival in SE.
Ran R. Liu   +5 more
wiley   +1 more source

Super‐Refractory Status Epilepticus (SRSE) in a Patient With Compound Heterozygous OPA1 Variants: Case Report and Literature Review

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Super‐Refractory Status Epilepticus (SRSE) is a rare, life‐threatening neurological emergency with unclear etiology in many cases. Mitochondrial dysfunction, often due to disease‐causing genetic variants, is increasingly recognized as a cause, with each gene producing distinct pathophysiological mechanisms.
Pouria Mohammadi   +2 more
wiley   +1 more source

A Region of Interest-Based Electrophysiological Source Imaging Technology and its Applications in Analysis of Motor Imagery EEG Signals

open access: yesIEEE Access, 2023
Electrophysiological source imaging (ESI) technology can map scalp potentials to the cerebral cortex, effectively address the shortcomings of low spatial resolution and the influence of volume conduction effects of electroencephalogram (EEG) signals ...
Yanping Wang, Xu Zheng, Nuo Gao
doaj   +1 more source

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