Epileptic Seizure
Transformation of EEG Signals Into Image Form During Epileptic Seizure
... tissue. Epileptic seizures may cause negative physical, psychological and social consequences, including loss of consciousness, injuries and sudden death (Guo at el, ...an epileptic seizure seems ...
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Epileptic Seizure Prediction by a System of Particle Filter Associated with a Neural Network
... None of the current epileptic seizure prediction methods can widely be accepted, due to their poor consistency in performance. In this work, we have developed a novel approach to analyze intracranial EEG ...
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A Survey On Approaches For Epileptic Seizure Detection And Prediction
... the epileptic seizures activities by applying classification techniques on brain map representations of ...of epileptic seizure was ...as epileptic or non epileptic EEG ...for ...
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Assessment of Epileptic Seizure in Human using SVM Classifier and DWT
... for epileptic seizure in a neurological issue which ought to be recognized at an early stage to know their particular needs and to help them make do with the ...of seizure and non-seizure ...
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Coherence Analysis of Epileptic Seizure and Normal EEG
... or epileptic activity, which is used most of the time for epileptic seizure ...where epileptic seizure typically becomes perceptible as characteristics usually by rhythmic ...of ...
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Spatial analysis of signal during epileptic seizure on plat electroencephalography
... experience epileptic seizure (Sanei and Chambers, 2013). During seizure, patient may have uncontrolled muscle movements, sensory disturbances, loss or alteration in ...the seizure is recurrent ...
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Support Vector Machine Kernel Functions Performance Evaluation in Epileptic Seizure Detection from EEG
... Automatic epileptic seizure detection from electroencephalogram is one the most challenging task due to its unknown mechanism and patient specific epileptic ...classify epileptic activity from ...
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SOP: First-ever epileptic seizure in adult patients
... one epileptic seizure in their ...first epileptic seizure in an adult can be a very decisive event and demands a great deal of responsibility on the part of the treating ...first ...
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Epileptic seizure as a system of ordinary differential equation
... 32. Tahir A. , Fauziah Z. , Jafri M. A. and Faridah M. (2005). dynamic system of an epileptic seizure. (IEEE). Sensors and the International Conference on new Techniques in Pharmaceutical and Biomedical ...
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MSBE Analysis with Frequency Spectra for Automated Identification of Epileptic Seizure
... of epileptic seizure activity from EEG ...of seizure, pre seizure (Abnormal) and normal ...pre seizure and seizure event respectively. Compared to seizure and normal ...
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Dynamic topological description of brainstorm during epileptic seizure
... of epileptic seizure as a dynamical system with potential difference as the feature ...of seizure, it was showed that a whole Flat EEG data can be analyze piece by piece (Fauziah, ...
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Symbolic time series analysis of electroencephalographic (EEG) epileptic seizure and brain dynamics with eye-open and eye-closed subjects during resting states
... of epileptic disorders and epileptic seizure detection [10–12] based on time–frequency decomposition [13] and wavelet-based spare functional linear model ...of epileptic seizure and by ...
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Cardiac Troponin I elevation after epileptic seizure
... The implementation of cTNI measurement in routine laboratory testing on admission enabled the acquisition of a large series of patients with cTNI assessment after an acute generalized convulsive seizure. Missing ...
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Multiresolution Analysis in EEG Signal Feature Engineering for Epileptic Seizure Detection
... with epileptic seizure EEG illustrated in 9c, the D3 and D4 frequency bands have elevated magnitude value which are almost similar magnitude value with ...
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Evolutionary coherence on EEG signals for epileptic seizure detection
... analyzing epileptic seizure EEG ...analyzing epileptic seizure as a few studies have reported that there is a shift of coherence across frequency bands during seizure (Ombao & Van ...
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Epileptic Seizure Data Classification Using RBAs and Linear SVM
... frequency band which is a reflection of quasi- periodicity and nonlinearity. The non-constant frequency means non-stationary. MF measure of the IMFs has been used as one of the features to differentiate between healthy ...
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Epileptic Seizure Classification of EEG Image Using ANN
... resistant epileptic patients, the possibility to predict forthcoming seizures could be very useful, not only for the patient‟s safety, but also to have the possibility to stop the unwanted ...oncoming ...
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Informed Under Sampling for Enhancing Patient Specific Epileptic Seizure Detection
... between epileptic and non-epileptic patients, seizure episode counting and onset seizure ...the seizure with the least possible delay unlike the seizure episode counting ...
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An Efficient Method for Epileptic Seizure Detection in Long Term EEG Recordings
... EEG morphology is the primary, meaningful characteristic reflects the brain activity. It can be said, each wave- form in EEG is generated due to its own brain’s mechanisms that completely different from others. These me- ...
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Epileptic Seizure-Induced Hypoxemia in Infants with Apparent Life-Threatening Events
... The onset of these changes preceded a prolonged pause in breathing movements and.. nasal airflow by I 19 seconds, and a decrease in Sa02 by 147 seconds.[r] ...
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