Results 31 to 40 of about 145,922 (355)
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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Surfactant and Neonatal Electroencephalogram
Pediatric Neurology Briefs, 2012 Researchers at the University of California San Diego evaluated the effects of endotracheal intubation and surfactant on the neonatal brain using a 3-channel neonatal EEG.
J Gordon Millichap
doaj +1 more source
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
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PIN generation using EEG : a stability study [PDF]
, 2014 In a previous study, it has been shown that brain activity, i.e. electroencephalogram (EEG) signals, can be used to generate personal identification number (PIN). The method was based on brain–computer interface (BCI) technology using a P300-based BCI
Palaniappan, Ramaswamy, Revett, Kenneth
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Outcome of Long-Term Video-EEG Monitoring
Archives of Epilepsy, 2017 Objectives:Long-term video-electroencephalogram (EEG) monitoring (VEM) is a diagnostic system used for many purposes, including the precise categorization of epileptic seizures, excluding non-epileptic seizures, and finding the seizure onset zone.
Demet ARSLAN
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Influence of skull conductivity perturbations on EEG dipole source analysis [PDF]
, 2010 PURPOSE: Electroencephalogram (EEG) source analysis is a noninvasive technique used in the presurgical of epilepsy. In this study, the dipole location and orientation errors due to skull conductivity perturbations were investigated in two groups of three-
Awada +30 more
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Coherence based graph convolution network for motor imagery-induced EEG after spinal cord injury
Frontiers in Neuroscience, 2023 BackgroundSpinal cord injury (SCI) may lead to impaired motor function, autonomic nervous system dysfunction, and other dysfunctions. Brain-computer Interface (BCI) system based on motor imagery (MI) can provide more scientific and effective treatment ...
Han Li +9 more
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Basic and Clinical Neuroscience, 2021 Introduction: Caffeine and nicotine are the most widely consumed psychostimulants worldwide. Although the effects of each drug alone on the central nervous system have been studied extensively, the literature on the neurochemical and electrophysiological
Iman M. Mourad +4 more
doaj
Classification of Epileptic EEG Signals by Wavelet based CFC
, 2018 Electroencephalogram, an influential equipment for analyzing humans activities and recognition of seizure attacks can play a crucial role in designing accurate systems which can distinguish ictal seizures from regular brain alertness, since it is the ...
Ahmadi, Amirmasoud +3 more
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Efficient Methods for Calculating Sample Entropy in Time Series Data Analysis [PDF]
, 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
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