Results 131 to 140 of about 31,190 (275)

Refining the electroclinical phenotype of 15q11.2 microdeletion: EEG biomarker overlap with Angelman syndrome

open access: yesEpileptic Disorders, EarlyView.
Abstract The 15q11.2 microdeletion is a chromosomal condition associated with a broad epileptic phenotype. It is differentiated from Angelman syndrome, which is typically a larger maternal deletion in an overlapping area. We describe a patient with a 15q11.2 microdeletion that has clinical and EEG biomarker features similar to those seen in Angelman ...
Hok Leong Chin   +2 more
wiley   +1 more source

A Study to assess Computer Vision Syndrome among Students in a Selected University of Delhi [PDF]

open access: yes, 2016
The objectives of the study were to assess the computer vision syndrome among students in a selected university of Delhi and to establish relationship between eye problems and selected demographic variables i.e.
Jacob, Ashin Merlin, Fatima, Jamal
core   +1 more source

The Relationship Between Computer Vision Syndrome and Sleep Quality of Undergraduate Nursing Students [PDF]

open access: yes
Background: Complex vision problems experienced when using digital devices are called Computer Vision Syndrome (CVS). The use of digital devices at night affects the delay of the circadian phase and the suppression of melatonin as a sleep facilitator ...
Tampubolon, Lindawati Farida   +2 more
core   +1 more source

The burden of the postictal state in epilepsy: A prospective, single‐center observational cohort study

open access: yesEpileptic Disorders, EarlyView.
Abstract Objective The postictal state is a major yet underrecognized component of the epilepsy burden. We aimed to develop a structured patient‐reported instrument to quantify postictal recovery, characterize its multidimensional burden, and identify demographic, clinical, psychiatric, and treatment‐related factors associated with postictal severity ...
Ionuț‐Flavius Bratu   +2 more
wiley   +1 more source

Video‐based diagnostics supported by artificial intelligence as an opportunity to address the epilepsy diagnostic gap: A narrative review

open access: yesEpilepsia, EarlyView.
Abstract Despite advancements in epilepsy care, a substantial diagnostic gap persists, particularly in resource‐limited settings. This narrative review explores the potential of video‐based diagnostics augmented by artificial intelligence (AI) to address this gap by enabling earlier and more accessible seizure detection and classification.
Gadi Miron   +7 more
wiley   +1 more source

Effect of Human and Technology Interaction: Computer Vision Syndrome among Administrative Staff in a Public University [PDF]

open access: yes, 2014
Introduction: Computer vision syndrome is a complex of eye and vision problems related to near work experienced during computer use. A cross-sectional study was done to determine the prevalence of computer vision syndrome, knowledge and attitude on ...
Muhammad Muhammad Isa   +3 more
core  

Artificial intelligence for adaptive neuromodulation in drug‐resistant epilepsy

open access: yesEpilepsia, EarlyView.
Abstract Drug‐resistant epilepsy (DRE) affects nearly one third of people with epilepsy and is associated with substantial cognitive, psychiatric, and mortality burdens. For patients who are not candidates for resection or laser interstitial thermal therapy, neuromodulation therapies such as vagus nerve stimulation, deep brain stimulation, and ...
Amir Hossein Daraie   +10 more
wiley   +1 more source

Mindfulness meditation increases interictal epileptiform discharges in meditation‐naïve surgical epilepsy patients

open access: yesEpilepsia, EarlyView.
Abstract Objective Meditation has widely recognized psychological and neuromodulatory benefits, yet its effects on epileptiform activity remain unclear. This study examined whether novice meditation modulates interictal epileptiform discharges (IEDs) in patients with drug‐resistant epilepsy using intracranial electroencephalography (iEEG).
Shweta Soni   +5 more
wiley   +1 more source

Erratum: Computer Vision Syndrome Prevalence and Associated Factors Among the Medical Student in Kist Medical College

open access: yesNepalese Medical Journal, 2019
The online version of the “Computer Vision Syndrome Prevalence and Associated Factors Among the Medical Student in Kist Medical College”(Basnet A, Basnet P, Karki P, Shrestha S. Computer Vision Syndrome Prevalence and Associated Factors Among the Medical
Shiva Raj KC
doaj  

Computer vision syndrome

open access: yes, 2020
Candace Moore, Daniel Bell
openaire   +1 more source

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