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25 results for “epilepsy”
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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 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 abstractCorrelation Analysis and Modeling of EEG – EMG Signal for Startle-Induced SeizuresB. Pushpa, D. Najumnissa, Dinesh NayakIn this study an EEG and EMG signal is analyzed for startle type epilepsy. Future, ten subject were involved in this study, for hearing a sound or sudden touch on a particular area of the body especially the right side leg, initially induces a jerk which leads to subsequent tonic contraction. The modeling technique and Correlation technique have analyzed for … …OnLine Journal of Biological Sciences, Vol. 18, Issue 1 · 26 Dec 2017 · 7,843 accessesView PDFCite
Research ArticleOpen accessIn the abstractSpatial Interaction Image of Electroencephalography Signal during Epileptic Seizure on Flat ElectroencephalographyGoh Chien Yong, Tahir Ahmad, Normah MaanElectroencephalogram (EEG) is widely used for recording the brain electrical activity. It plays an important role in the detection and classification of epilepsy seizures. In addition, it is believed to possess the ability to detect the location of epileptic focus to some degree. In this study, an EEG data during seizure obtained is analysed and transformed into an image form, … …Journal of Mathematics and Statistics, Vol. 13, Issue 1 · 13 Mar 2017 · 6,899 accessesView PDFCite
Research ArticleOpen accessIn the abstractDETERMINATION OF EPILEPTIC DISORDER WITH DISCRETE WAVELET TRANSFORMS AND NEURAL NETWORK CLASSIFIERS. T. Sadish Kumar, N. KasthuriNowadays Epileptic disorder is a most challenge aspects in brain activation. Electroencephalograph (EEG) is one of the popular procedures to understand the human brain condition. The activation of brain will be changed due to the symptoms of neurological disorder. We have been proposed a procedure to find epilepsy disorder, using discrete wavelet transform and neural network classifier. The EEG classification … …Journal of Computer Science, Vol. 10, Issue 1 · 12 Nov 2013 · 6,657 accessesView PDFCite
Research ArticleOpen accessIn the abstractFUZZY TOPOLOGICAL DIGITAL SPACE OF FLAT ELECTROENCEPHALOGRAPHY DURING EPILEPTIC SEIZURESMuhammad Abdy, Tahir AhmadEpileptic seizures are manifestations of epilepsy caused a temporary electrical disturbance in a group of brain cells. Electroencephalography (EEG) is a recording of electrical activity of the brain and it contains valuable information related to the different physiological states of the brain. Flat EEG (fEEG) was developed to compress and analyze information in the brain during epileptic seizures obtained from … …Journal of Mathematics and Statistics, Vol. 9, Issue 3 · 5 Jul 2013 · 7,203 accessesView PDFCite
Research ArticleOpen accessIn the abstractBispectral Analysis of Scalp Electroencephalograms: Quadratic Phasecoupling Phenomenon in Detecting Brain TumorV. Salai Selvam, S. ShenbagadeviSince the power spectral analysis of a non-Gaussian process generated by a nonlinear mechanism e.g., EEG, does not provide much information on the underlying nonlinear dynamics due to the lack of phase information, the higher-order statistics such as the bispectra are used to better understand the underlying nonlinear dynamics e.g., the quadratic phase coupling phenomena. The quadratic phase couplings have … …American Journal of Applied Sciences, Vol. 10, Issue 3 · 27 Mar 2013 · 6,537 accessesView PDFCite
Research ArticleOpen accessIn the abstractGRAPH OF FINITE SEQUENCE OF FUZZY TOPOGRAPHIC TOPOLOGICAL MAPPING OF ORDER TWOMohamed Sayed, Tahir AhmadFuzzy Topographic Topological Mapping (FTTM) was built to solve the neuromagnetic inverse problem to determine the location of epileptic foci in epilepsy disorder patient. The model which consists of topological and fuzzy structures is composed into three mathematical algorithms. FTTM consists of four topological spaces and connected by three homeomorphisms. FTTM version 1 is also homeomorphic to FTTM version 2. … …Journal of Mathematics and Statistics, Vol. 9, Issue 1 · 15 Mar 2013 · 7,455 accessesView PDFCite
Research ArticleOpen accessIn the abstractNeuropharmacological Assessment of an Aqueous Bark Extract of Antiaris toxicaria (Pers.) Lesch. (Moraceae) in RodentsPriscilla K. Mante, Donatus W. Adongo, Kennedy K.E. Kukuia et al.Antiaris toxicaria is a plant traditionally used in Ghana for the treatment of various neurological conditions such as epilepsy and pain. This present study therefore seeks to screen for the neuropharmacological activities of the aqueous extract of Antiaris toxicaria (AAE) stem bark. The effect of Antiaris extract on pentobarbital-induced sleeping time, tail immersion test, spontaneous locomotor activity, motor coordination, PTZ-induced … …American Journal of Pharmacology and Toxicology, Vol. 7, Issue 4 · 27 Nov 2012 · 7,794 accessesView PDFCite