Results 31 to 40 of about 3,208 (258)
Bias Remediation in Driver Drowsiness Detection Systems Using Generative Adversarial Networks
Datasets are crucial when training a deep neural network. When datasets are unrepresentative, trained models are prone to bias because they are unable to generalise to real world settings.
Mkhuseli Ngxande +2 more
doaj +1 more source
This review redefines the carotid bulb (CB) as a variable geometric dilation shaped by hemodynamics and the carotid sinus (CS) as a conserved neurohistological baroreceptor field. Distinguishing these entities clarifies a century of anatomical confusion and links geometry, neurohistology, and clinical interpretation within a unified framework ...
Răzvan Costin Tudose +2 more
wiley +1 more source
Cannabinoids and drug–drug pharmacokinetic interactions: Deciphering the risks
The relationship between cannabinoids and mental health has become a major focus of scientific inquiry and public discourse. Cannabinoids are diverse chemical compounds from the Cannabis species that have been explored for their therapeutic applications in treating chronic pain, psychiatric and neurological conditions, such as depression, schizophrenia,
Paraskevi Papakyriakopoulou +2 more
wiley +1 more source
A guide to neuromodulation in drug‐resistant epilepsy
Abstract Neuromodulation is approved for the treatment of drug‐resistant epilepsy. It has been increasingly utilized over the past two decades with the approval of deep brain stimulation (DBS) and responsive neurostimulation (RNS) in addition to vagus nerve stimulation (VNS)—particularly in patients who are not deemed to be good resective surgical ...
Prachi Parikh +10 more
wiley +1 more source
Train driver drowsiness detection using deep learning approach [PDF]
Safety is one of the most important priorities of the rail transport industry. Train driver sleepiness is a major threat to railway safety as it can lead to accidents and irreparable losses.
parsa fakhri +2 more
doaj
Drowsy driving is one of the main causes of traffic accidents. To reduce such accidents, early detection of drowsy driving is needed. In previous studies, it was shown that driver drowsiness affected driving performance, behavioral indices, and ...
Jongseong Gwak +2 more
doaj +1 more source
Abstract Objective CDKL5 deficiency disorder (CDD) is a rare X‐linked developmental and epileptic encephalopathy caused by loss‐of‐function variants in the CDKL5 gene. Preclinical experiments using enzyme replacement or gene therapies show promise and could be transformative therapies.
Xavier Liogier d'Ardhuy +8 more
wiley +1 more source
Drowsiness Detection and Alertness Using Eye Motion Monitoring
The driver felt sleepy when they don’t take proper rest while driving on long routes. The restless driving careless mistake could be fatal to driver as well as others’ lives.
Rabia Asghar +4 more
doaj
Abstract Objective This work was undertaken to study the association between vagus nerve stimulation (VNS) parameters and the apnea–hypopnea index (AHI) measured by polysomnography in patients with drug‐resistant epilepsy. Methods Patients with epilepsy who underwent polysomnography with an active VNS device between 2018 and 2023 were retrospectively ...
Jacques‐François Massa +8 more
wiley +1 more source
Focal seizures during simulated driving: A pilot study
Abstract Cars are increasingly equipped with technology that can be used to analyze driver behavior and alertness, often referred to as driver monitoring systems (DMS). Although initially mainly used to track drivers' attention, DMS are now expanding in the hope of detecting additional forms of driver impairment that may jeopardize driving, such as ...
Emma Nilsson +4 more
wiley +1 more source

