[PDF][PDF] BRAIN COMMUNICATIONS AIN COMMUNICATIONS

GM Schroeder, FA Chowdhury, MJ Cook, B Diehl… - 2022 - minerva-access.unimelb.edu.au
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 …

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 …

[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 …

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 …

[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 …

Incorporating hand-crafted features to deep neural networks for seizure prediction

Q Lian, Y Qi, K Lin, Y Wang, S Zhang… - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
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 …

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 …

[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 …

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 …

[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 …