Results 21 to 30 of about 96,303 (304)
A statistical technique for measuring synchronism between cortical regions in the EEG during rhythmic stimulation [PDF]
, 2001 The coherence function has been widely applied in quantifying the degree of synchronism between electroencephalogram (EEG) signals obtained from different brain regions.
Miranda de Sa, A.M.F.L. +2 more
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Medicina, 2020 A large body of literature reports the higher prevalence of epilepsy in subjects with Autism Spectrum Disorder (ASD) compared to the general population.
Francesco Precenzano +11 more
doaj +1 more source
Real-time epilepsy seizure detection and brain connectivity analysis using electroencephalogram
, 2023 This thesis integrates signal processing techniques, functional brain connectivity analysis, and artificial intelligence methods to address the challenges of real-time epilepsy seizure detection and provide insights into complex brain disorders, such as ...
Shen, Mingkan
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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
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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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
doaj +1 more source
Electroencephalogram-based Brain-Computer Interface
, 2017 Brain Computer Interfaces (BCIs) are systems that allow people to control devices using brain signals. One goal of BCI research is to provide an additional communication method for the estimated 7 million Americans who are living with motor impairments ...
Cena Miller (10088725)
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The Electroencephalogram in Parkinsonism
Experimental Biology and Medicine, 1949 SummaryPatients with Parkinsonism do not show slow activity in the EEG, using either sphenoidal or scalp electrodes, except that incidental to movement artifact.
H, NEWMAN, R, McNAUGHT, F, O'DONNELL
openaire +2 more sources
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
doaj +1 more source
Seizures in 204 Comatose Children: Incidence and Outcome [PDF]
, 2012 Purpose: Seizures are common in comatose children, but may be clinically subtle or only manifest on continuous electroencephalographic monitoring (cEEG); any association with outcome remains uncertain.
Brian G. R. Neville +43 more
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