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Puslapis 1 nuo 147 rezultatus
[KOCH'S DRAW-A-TREE TEST IN PATIENTS WITH SEIZURES].
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Areca catechu (palm tree) nut chewing and seizures: An observational study.
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The objective of this study was to report the impact of chronic abuse of Areca catechu nut wrapped in leaf (also known as doma, quid, paan), the fourth most commonly abused psychoactive substance worldwide, on the frequency of seizures among people with epilepsy.
People with clinically diagnosed
Localization value of seizure semiology analyzed by the conditional inference tree method.
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OBJECTIVE
Although accurate interpretation of seizures is important for the management of patients with epilepsy, studies on the localizing value of seizure semiology and the reliability of the semiology descriptions are scarce. The objective of our study is to investigate the accuracy of
Chinaberry tree (Melia azedarach) poisoning in dog: a case report.
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This article describes a case of Chinaberry tree poisoning diagnosed in a dog. The initial clinical signs were variable and included tremors (muscular seizures) and a moderate limp in the dog's back leg, which evolved to a more severe condition in the following hours. Abdominal radiographic
Estimating The Quality of Electroconvulsive Therapy Induced Seizures Using Decision Tree and Fuzzy Inference System Classifiers.
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Electroconvulsive therapy (ECT) is an effective and widely used treatment for major depressive disorder, in which a brief electric current is passed through the brain to trigger a brief seizure. This study aims to identify seizure quality rating by utilizing a set of seizure parameters. We used 750
EEG epileptic seizure detection and classification based on dual-tree complex wavelet transform and machine learning algorithms
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The visual analysis of common neurological disorders such as epileptic seizures in electroencephalography (EEG) is an oversensitive operation and prone to errors, which has motivated the researchers to develop effective automated seizure detection methods. This paper proposes a robust automatic
Treatment of epileptic seizures as medical emergencies: a prospective analysis of a decision tree for nonmedically trained staff.
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The aim of this study was to evaluate the benefit of treating every epileptic seizure as an emergency and to propose a decision tree for use by nonmedical staff. Published literature on emergency medical treatment for seizures was reviewed. A detailed decision tree was developed for use by
Inter-ictal- and ictal-like epileptic discharges in the dendritic tree of neocortical pyramidal neurons.
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Dendritic mechanisms have been implied to play a key role in the formation of epileptic discharges. However, presently only a handful of direct dendritic recordings have been reported during epileptic discharges. In this study, I performed simultaneous voltage recordings from the soma and apical
Classification of Normal, Ictal and Inter-ictal EEG via Direct Quadrature and Random Forest Tree.
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This paper presents an accurate nonlinear classification method that can help physicians diagnose seizure in electroencephalographic (EEG) signal characterized by a disturbance in temporal and spectral content. This is accomplished by applying four steps. First, different EEG signals containing
Epilepsy surgery outcome and functional network alterations in longitudinal MEG: a minimum spanning tree analysis.
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Seizure freedom after resective epilepsy surgery is not obtained in a substantial number of patients with medically intractable epilepsy. Functional neural network analysis is a promising technique for more accurate identification of the target areas for epilepsy surgery, but a better understanding
A decision tree to determine fitness to drive in epilepsy: Results of a pilot in two Australian states.
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[Postischemic reorganization of dendritic architectonics of the hippocampal CA3 region in albino rats predisposed to seizures].
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Total short term ischemia of brain was induced experimentally in albino rats (10 min long clamp of heart vascular bundle). Using Golgi Silver nitrate impregnation geometry of pyramidal neurons dendritic tree was studied in sector of hippocampus in norm, postischemic period (d 1.30 and 90) healthy
Epileptic seizure detection: a comparative study between deep and traditional machine learning techniques.
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Electroencephalography is the recording of brain electrical activities that can be used to diagnose brain seizure disorders. By identifying brain activity patterns and their correspondence between symptoms and diseases, it is possible to give an accurate diagnosis and appropriate drug therapy to
Combined role of seizure-induced dendritic morphology alterations and spine loss in newborn granule cells with mossy fiber sprouting on the hyperexcitability of a computer model of the dentate gyrus.
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Temporal lobe epilepsy strongly affects hippocampal dentate gyrus granule cells morphology. These cells exhibit seizure-induced anatomical alterations including mossy fiber sprouting, changes in the apical and basal dendritic tree and suffer substantial dendritic spine loss. The effect of some of
Regression analysis for detecting epileptic seizure with different feature extracting strategies.
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Due to the excitability of neurons in the brain, a neurological disorder is produced known as epilepsy. The brain activity of patients suffering from epilepsy is monitored through electroencephalography (EEG). The multivariate nature of features from time domain, frequency domain, complexity and
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