[PDF][PDF] BRAIN COMMUNICATIONS AIN COMMUNICATIONS
Multiple mechanisms shape the relationship between pathway and duration of focal seizures
Page 1 Multiple mechanisms shape the relationship between pathway and duration of focal …
Page 1 Multiple mechanisms shape the relationship between pathway and duration of focal …
The Novel Integration of Electroencephalography, Actigraphy, and Questionnaires: A Multimodal Approach to Understanding Epileptic Canine Behaviour
E Folkard - 2023 - atrium.lib.uoguelph.ca
Dogs with idiopathic epilepsy (IE) commonly present with complex behavioural profiles.
Limited tools exist to objectively quantify and classify canine behaviour in epilepsy. Tools …
Limited tools exist to objectively quantify and classify canine behaviour in epilepsy. Tools …
[PDF][PDF] On the Performance of Seizure Prediction Methods Across Different Databases
IM Andrade - 2023 - estudogeral.uc.pt
Epilepsy is one of the most prevalent neurological conditions, affecting approximately 1% of
the global population. While Antiepileptic Drugs (AEDs) have demonstrated effectiveness in …
the global population. While Antiepileptic Drugs (AEDs) have demonstrated effectiveness in …
Duże zwierzęta jako potencjalne modele zaburzeń psychicznych i zachowania człowieka.
M Danek, J Danek, A Araszkiewicz - Psychiatria Polska, 2017 - psycnet.apa.org
Many animal models in different species have been developed for mental and behavioral
disorders. This review presents large animals (dog, ovine, swine, horse) as potential models …
disorders. This review presents large animals (dog, ovine, swine, horse) as potential models …
[图书][B] Deep learning for electrophysiological investigation and estimation of anesthetic-induced unconsciousness
K Patlatzoglou - 2022 - search.proquest.com
Neuroscience has made a number of advances in the search for the neural correlates of
consciousness, but our understanding of the neurophysiological markers remains …
consciousness, but our understanding of the neurophysiological markers remains …
Incorporating hand-crafted features to deep neural networks for seizure prediction
Brain computer interface (BCI) provides effective communication between the brain and a
machine. BCI-aided systems have been used for epilepsy control by performing seizure …
machine. BCI-aided systems have been used for epilepsy control by performing seizure …
Towards Accurate Forecasting of Epileptic Seizures: Artificial Intelligence and Effective Connectivity Findings
E Bou Assi - 2018 - publications.polymtl.ca
L'épilepsie est une des maladies neurologiques les plus fréquentes, touchant près d'un
pourcent de la population mondiale. De nos jours, bien qu'environ deux tiers des patients …
pourcent de la population mondiale. De nos jours, bien qu'environ deux tiers des patients …
[PDF][PDF] Seizure forecasting
X Pang - 2014 - cs229.stanford.edu
The focus of this project is to predict impending seizure occurrence for epilepsy patients
using intracranial EEG recordings. Reliable prediction of seizures can provide the patients …
using intracranial EEG recordings. Reliable prediction of seizures can provide the patients …
Utilização de técnicas de aprendizado de máquina para predição de crises epiléticas
KN Santos - 2016 - repositorio.ufrn.br
O aumento populacional nos paıses em desenvolvimento, incluindo o Brasil, demanda
serviços que melhorem a qualidade de vida para todos os indivıduos. Para suprir essas …
serviços que melhorem a qualidade de vida para todos os indivıduos. Para suprir essas …
[PDF][PDF] Predição de Crise Epiléptica pelo uso de Técnicas de Aprendizado de Máquinas em Sinais de Eletroencefalograma
JB Kill - 2022 - sappg.ufes.br
A epilepsia é um distúrbio cerebral caracterizado por convulsões recorrentes não
provocadas. A imprevisibilidade das convulsões afeta negativamente a vida dos pacientes …
provocadas. A imprevisibilidade das convulsões afeta negativamente a vida dos pacientes …