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EEG is the most commonly used technique for the monitoring of the brain activities in the case of epilepsy. Generally, the visual encephalographers and the expert neurologists analyze the EEG records and it is quite time consuming. In the EEG recordings, several noisy characteristics are present making it difficult for the experts to differentiate between an artifact and seizure in raw EEG signals...
One of the most commonly occurring disorder in the brain is epilepsy and it is characterized by the sudden onset of recurrent seizures. When the electrical discharge in the brain bursts suddenly in an abnormal fashion it leads to epilepsy. Epilepsy is a neurological disorder of the Central Nervous System (CNS) and causes great trouble to mankind because of the recurrence of the seizures. The EEG provides...
The aim of this paper is to give a performance analysis by considering the advantage of Code Converters as a feature extraction technique and Sparse Representation Classifier (SRC) as a post classifier for the classification of the epilepsy risk levels obtained from Electroencephalography (EEG) signals. A group of related or similar disorders which is generally characterized by the occurrence of frequency...
Epilepsy is the most prevalent neurological disorder affecting the autonomous nervous system to a higher extent. Characterized by the sudden onset of recurrent, regressive and transient disturbances epilepsy occurs due to the hyper synchronization of the neurons in the cortical regions of the brain. The epileptic patient always experiences continuous electrical discharges in the brain. The recurrent...
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