نتایج جستجو برای: eeg power spectrum

تعداد نتایج: 716547  

Journal: :Neuro endocrinology letters 2016
Beata Saniova Michal Drobny Eva Drobna Julian Hamzik Erika Bakosova Martin Fischer

OBJECTIVES The main objective was to indicate sufficient general anaesthesia (GA) inhibition for negative experience rejection in GA. PATIENTS AND METHODS We investigated the group of patients (n = 17, mean age 63.59 years, 9 male--65.78 years, 8 female - 61.13 years) during GA in open thorax surgery and analyzed EEG signal by power spectrum (pEEG) delta (DR), and gamma rhythms (GR). EEG was ...

Journal: :NeuroSci 2022

The present research aims at examining the power spectrum and exploring functional brain connectivity/disconnectivity during concentration performance, as measured by d2 test of attention creativity CREA in typically developing children. To this end, we examined connectivity using phase synchrony (i.e., locking index (PLI) over EEG signals acquired Emotiv EPOC neuroheadset 15 children aged 9- t...

Journal: :Physiology & Behavior 2021

Objective: To analyze the psychophysiological response during takeoff, landing, air-air attack and air-ground maneuvers. Methods: A total of 11 expert pilots (age=33.36 (5.37)) from Spanish Air Force participated in this cross-sectional study. Participants had to complete a flight simulator following missions: 1) takeoff; 2) Air-air attack; 3) Air-Ground attack, 4) Landing. The electroencephalo...

2018
Mostafa Jalilifar Ali Yadollahpour

The data represented here are in relation with the manuscript "Quantitative assessments of extracellular EEG to classify specific features of main phases of seizure acquisition based on kindling model in Rat" (Jalilifar et al., 2017) [1] which quantitatively classified different main stages of the kindling process based on their electrophysiological characteristics using EEG signal processing. ...

Journal: :Brain injury 2011
Natallia Lapitskaya Joergen Feldbaek Nielsen Anders Fuglsang-Frederiksen

PRIMARY OBJECTIVE This prospective controlled non-randomized study investigated the effects of robotic gait training on electroencephalographic (EEG) brain activity in patients with impaired consciousness due to severe traumatic brain injury (TBI). METHODS Twelve TBI patients and 14 healthy controls underwent a single training session on a computer-driven gait orthosis (Lokomat®). The sensory...

Journal: :Neurocomputing 2008
Peter beim Graben Jürgen Kurths

The human electroencephalogram (EEG) is globally characterized by a 1=f power spectrum superimposed with certain peaks, whereby the ‘‘alpha peak’’ in a frequency range of 8–14Hz is the most prominent one for relaxed states of wakefulness. We present simulations of a minimal dynamical network model of leaky integrator neurons attached to the nodes of an evolving directed and weighted random grap...

Journal: :Journal of sleep research 2018
Jianbo Liu Sridhar Ramakrishnan Srinivas Laxminarayan Maxwell Neal David J Cashmere Anne Germain Jaques Reifman

Electroencephalography (EEG) recordings during sleep are often contaminated by muscle and ocular artefacts, which can affect the results of spectral power analyses significantly. However, the extent to which these artefacts affect EEG spectral power across different sleep states has not been quantified explicitly. Consequently, the effectiveness of automated artefact-rejection algorithms in min...

Journal: :Neurobiology of aging 1989
D J Dijk D G Beersma R H van den Hoofdakker

The sleep EEGs of 9 young adult males (age 20-28 years) and 8 middle-aged males (42-56 years) were analyzed by visual scoring and spectral analysis. In the middle-aged subjects power density in the delta, theta and sigma frequencies were attenuated as compared to the young subjects. In both age groups power density in the delta and theta frequencies declined from NREM period 1 to 3. In the sigm...

Journal: :IAES International Journal of Artificial Intelligence 2022

Blinding of modality has been influenced decision multimodal in several circumstances. Sometimes, certain electroencephalogram (EEG) signal is omitted to achieve the highest accuracy performance. Therefore, aim for this paper enhance parameters EEG signals based on music applications. The structure evaluated with performance measure ensure implementation parameter value valid apply equation. mo...

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