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21 results for “epilepsy seizure”
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Research ArticleOpen accessIn the keywordsIntegrating (OLAP) Online Analytical Processing With a Fast Algorithm for Epileptic Seizures DetectionIlyas Zidane, Wajih Rhalem, Nordine ZidaneEpilepsy is a neurological disorder characterized by recurrent seizures, significantly impacting the quality of life of patients. Effective detection and analysis of epileptic seizures are crucial for timely intervention and management. This paper presents the integration of a fast algorithm for epileptic seizures detection with an OLAP (Online Analytical Processing) system using a star schema data warehouse model. By leveraging … …Journal of Computer Science, Vol. 22, Issue 10 · 12 Oct 2026 · 678 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEpileptic Seizure Detection Using Integrated Decomposed Features from EEG SignalShupta Das, Suraiya Akter Mumu, M. A. H. Akhand, Md Abdus Samad KamalThe root cause of the seizure is a sudden abnormal excessive electrical discharge in the brain and it is an Epileptic Seizure (ES) when such abnormal electrical activity arises particularly for epilepsy. Recognizing ES is crucial for effective treatment as it often repeats and can lead to serious outcomes. Since epilepsy is a neurological issue, detecting ES by analyzing brain … …Journal of Computer Science, Vol. 20, Issue 10 · 8 Aug 2024 · 4,845 accessesView PDFCite
Research ArticleOpen accessIn the keywordsWhat Else do Epileptic Data RevealRamalingam ShanmugamProblem statement: Aggregating and analyzing data of all patients using statistical methodologies as often done in macro sense would be not useful when physician’s professional interest was only to provide the best medical care to the patient. For this purpose, individual data of the involved patient should be analyzed and modeled in a micro sense for the physician to notice … …Current Research in Medicine, Vol. 2, Issue 1 · 29 Mar 2011 · 7,302 accessesView PDFCite
Research ArticleOpen accessIn the keywordsChildhood Epilepsy: An Update on Diagnosis and ManagementKhaled SaadWithin the past few years there is a rapid expansion in our understanding of epilepsy. The development of new anti-epileptic drugs and refinements to epilepsy surgery are widening the therapeutic options for epilepsy. In addition, the classification of the epilepsies continues to evolve based on an increased understanding of the molecular genetics of the condition and this includes the recognition … …Neuroscience International, Vol. 5, Issue 2 · 19 Jan 2015 · 8,700 accessesView PDFCite
Research ArticleOpen accessIn the keywordsZonisamide: The Arizona ExperienceK.J. Oommen, Enriqe LabadieZonisamide (ZNS) is a new antiepileptic drug initially introduced in Europe, Japan and the United States (US) in the late 1980’s and was the first such drug to be clinically tested in the US, since the marketing of valproic acid in 1978. Reports of nephrolithiasis by European and US investigators resulted in the trials being terminated in the US during … …American Journal of Pharmacology and Toxicology, Vol. 2, Issue 2 · 30 Jun 2007 · 7,164 accessesView PDFCite
Research ArticleOpen accessIn the abstractEpileptic Seizure Detection from EEG Signal Using Progressive Channel Selection and Deep LearningSuraiya Akter Mumu, Shupta Das, M. A. H. Akhand et al.Epileptic Seizures (ES), marked by abrupt abnormal electrical discharges in the brain, represent the primary symptom of epilepsy, making timely and accurate detection critical because of their unpredictable recurrence and potentially severe consequences. The Electroencephalogram (EEG), a widely used, non-invasive, and economical method for monitoring brain activity, plays a key role in automated ES detection through Machine Learning (ML) and … …Journal of Computer Science, Vol. 22, Issue 6 · 8 Jul 2026 · 1,393 accessesView PDFCite
Research ArticleOpen accessIn the abstractFine-Tuned and Optimized Transformer-Based Model for EEG Seizure DetectionPuspanjali Mallik, Ajit Kumar Nayak, Kumar Janardan Patra et al.Epilepsy, a widely recognized neurological disorder, results from irregularities in the transmission of electrical impulses among neurons in the brain. Over the last two decades, significant efforts have been made by researchers and clinicians to develop effective methods for its early detection and management. The electroencephalogram (EEG), a non-invasive tool used to monitor brainwave activity, has become a central device … …Journal of Computer Science, Vol. 21, Issue 11 · 11 Feb 2026 · 1,412 accessesView PDFCite
Research ArticleOpen accessIn the abstractDifferent Arrangement of Dopamine Receptors/NMDA Receptors Heterocomplexes in the Brain Regions of a Healthy Male, Female and Audiogenic Seizure-Prone Male RatsGigi Tevzadze, Elene Zhuravliova, Natia Okriashvili et al.Differences in the composition and subcellular localization of heteroreceptors in the brain can trigger central nervous system diseases, including epilepsy and autism. Protein-protein interactions between Dopamine Receptors (DRs) and GLUN2A and GLUN2B subunits are critical mechanisms that regulate dopamine and glutamate coordinated signals. These interactions may be involved in the pathophysiological predisposition of epilepsy. We hypothesized that the specificity of … …American Journal of Biochemistry and Biotechnology, Vol. 18, Issue 2 · 27 Apr 2022 · 6,098 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnticonvulsant Activity of Hydroalcoholic Phoenix dactylifera Fruit Extract and Pimpinella anisum Oil in MiceSameh Mohamed Mostafa EL-Nabtity, Ahmed Shaban Abdelaziz, Manar Salah Moselhi, Mario GiorgiEpilepsy is a group of long-term neurological disorders characterized by epileptic seizures. The present study sought to investigate the anticonvulsant and neuroprotective Activity of Hydroalcoholic Phoenix dactylifera fruit extract (HAPD) and Pimpinella Anisum Oil (PAO) against Pentylenetetrazole (PTZ) and Maximal Electric Shock (MES) induced a seizure in mice. Mice groups were treated with HAPD1000 mg/kg, PAO 4 ml/kg. The onset … …American Journal of Animal and Veterinary Sciences, Vol. 14, Issue 2 · 25 May 2019 · 7,590 accessesView PDFCite
Research ArticleOpen accessIn the abstractRandom Forest Classification and Support Vector Machine for Detecting Epilepsyusing Electroencephalograph RecordsHeri Kuswanto, Mutiah Salamah, Muhammad Idrus FachruddinComplexity in data structure has led to the rapid development of computational statistics methods. Machine learning approaches have been introduced and applied to solve complex problems in many fields. This paper applies two common machine learning approaches, Random Forest (RF) and Support Vector Machine (SVM), in the detection of epilepsy. The diagnosis of epilepsy can usually only be made when … …American Journal of Applied Sciences, Vol. 14, Issue 5 · 4 May 2017 · 8,134 accessesView PDFCite