Pain-related Somato Sensory Evoked Potentials: A potential new tool to improve the prognostic prediction of coma after cardiac arrest [PDF]
, 2015 INTRODUCTION: Early prediction of a good outcome in comatose patients after cardiac arrest still remains an unsolved problem. The main aim of the present study was to examine the accuracy of middle-latency SSEP triggered by a painful electrical ...
Aric\uf2, Maria +9 more
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Electroencephalogram of Healthy Horses During Inhaled Anesthesia. [PDF]
, 2015 BackgroundPrevious study of the diagnostic validity of electroencephalography (EEG) to detect abnormalities in equine cerebral cortical function relied on the administration of various drugs for sedation, induction, and maintenance of general anesthesia ...
Aleman, MR +8 more
core +1 more source
Approximate entropy and auto mutual information analysis of the electroencephalogram in Alzheimer's disease patients [PDF]
, 2008 We analysed the electroencephalogram (EEG) from Alzheimer's disease (AD) patients with two nonlinear methods: approximate entropy (ApEn) and auto mutual information (AMI).
Abasolo, D. +4 more
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Nonlinear Electroencephalogram (EEG) Analysis in Sleep Medicine
Journal of Sleep Sciences, 2021 There are three main views in computational neuroscience including deterministic, stochastic, and nonlinear approaches. In the deterministic approach, the human brain is considered a linear and stationary system with determined parameters.
Mortaza Zangeneh Soroush
doaj +1 more source
A study on the possible usefulness of detrended fluctuation analysis of the electroencephalogram background activity in Alzheimer's disease [PDF]
, 2008 We studied the EEG background activity of Alzheimer's disease (AD) patients with detrended fluctuation analysis (DFA). DFA provides an estimation of the scaling information and long-range correlations in time series. We recorded the EEG in 11 AD patients
Abasolo, Daniel +3 more
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The spatiotemporal pattern of the human electroencephalogram at sleep onset after a period of prolonged wakefulness [PDF]
, 2019 During the sleep onset (SO) process, the human electroencephalogram (EEG) is characterized by an orchestrated pattern of spatiotemporal changes. Sleep deprivation (SD) strongly affects both wake and sleep EEG, but a description of the topographical EEG ...
Aurora D’Atri +8 more
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Phase Fluctuation Analysis in Functional Brain Networks of Scaling EEG for Driver Fatigue Detection
Promet (Zagreb), 2020 The characterization of complex patterns arising from electroencephalogram (EEG) is an important problem with significant applications in identifying different mental states.
Rongrong Fu +4 more
doaj +1 more source
Scale-invariance of human EEG signals in sleep [PDF]
, 2007 We investigate the dynamical properties of electroencephalogram (EEG) signals of human in sleep. By using a modified random walk method, We demonstrate that the scale-invariance is embedded in EEG signals after a detrending procedure.
A. L. Goldberger +12 more
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Behavioral Sciences, 2022 Detection of limb motor functions utilizing brain signals is a significant technique in the brain signal gain model (BSM) that can be effectively employed in various biomedical applications.
Abeer Abdulaziz AlArfaj +2 more
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Evaluation on flow discharge of grassed swale in lowland area [PDF]
, 2014 Grassed swale is an open vegetated channel designed specifically in attenuating stormwater runoff to decrease the velocity, to reduce the peak flows, and minimize the causes of flood.
Ackerman +6 more
core +3 more sources