Results 51 to 60 of about 236,683 (245)

EEG Signal Classification under RF Exposure Using Synthetic Data–Augmented Feedforward Neural Network

open access: yesInternational Islamic University Malaysia Engineering Journal
Electroencephalogram (EEG) signal classification plays a critical role in understanding brain activity under varying radiofrequency (RF) exposure conditions. The demand for improving EEG classification modeling is increasing due to the growing number of
Muhammad Rasyid Rosli   +2 more
doaj   +1 more source

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

Added Prognostic Value of EEG Reactivity in Comatose Patients Following Cardiac Arrest

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives To evaluate the added prognostic value of EEG reactivity for favorable outcome compared with background analysis during and after targeted temperature management (TTM). Methods Prospective observational cohort study of comatose post–cardiac arrest patients admitted to a single academic center between 2017 and 2022, all undergoing ...
Sarah Caroyer   +11 more
wiley   +1 more source

The diagnostic yield of a 2-h versus a 30-min electroencephalogram for patients with altered mental status in neurological intensive care unit

open access: yesThe Egyptian Journal of Neurology, Psychiatry and Neurosurgery
Background The continuous electroencephalogram (cEEG) monitoring is recommended for critical ill patients with altered mental status, The cEEG detects seizure activity and nonconvulsive status epilepticus (NCSE) more efficiently than routine ...
Nesma Mounir   +3 more
doaj   +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

Comparing the Effect of Semi‐Immersive Virtual Reality, Computerized Cognitive Training, and Traditional Rehabilitation on Cognitive Function in Multiple Sclerosis: A Randomized Clinical Trial

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Cognitive impairment is a common non‐motor symptom in Multiple Sclerosis (MS), negatively affecting autonomy and Quality of Life (QoL). Innovative rehabilitation strategies, such as semi‐immersive virtual reality (VR) and computerized cognitive training (CCT), may offer advantages over traditional cognitive rehabilitation (TCR ...
Maria Grazia Maggio   +8 more
wiley   +1 more source

Comprehensive Characterization of 98 Chinese Cases of Genetic Creutzfeldt‐Jakob Disease With T188K Mutation

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To characterize the demographic, clinical, and laboratory features of the Chinese patients of genetic Creutzfeldt‐Jakob disease with T188K variant (T188K‐gCJD), the most common subtype of genetic prion diseases (gPrDs) in China. Methods In this nationwide retrospective study, data from 98 genetically confirmed T188K‐gCJD patients ...
Chun‐Jie Li   +11 more
wiley   +1 more source

Use and Abuse of the Electroencephalogram

open access: yesPediatric Neurology Briefs, 2000
The utility of the electroencephalogram (EEG) to evaluate clinical situations in epilepsy is reviewed from the Department of Clinical Neurophysiology, King’s College Hospital, London, UK.
J Gordon Millichap
doaj   +1 more source

Screening Routine Clinical Notes for Epilepsy Surgery Candidates Using Large Language Models

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Epilepsy surgery is severely underutilized despite proven efficacy, with substantial under‐referral of eligible patients in routine clinical practice. This study evaluated the potential role of large language models (LLMs) as decision‐support tools for screening unstructured clinical notes to identify epilepsy surgery candidates and ...
Uriel Fennig   +9 more
wiley   +1 more source

The Use of EEG Signals For Biometric Person Recognition [PDF]

open access: yes, 2015
This work is devoted to investigating EEG-based biometric recognition systems. One potential advantage of using EEG signals for person recognition is the difficulty in generating artificial signals with biometric characteristics, thus making the spoofing
Yang, Su
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