Browsing by Subject "Seizure"
Now showing items 1-5 of 5
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Detection and prediction of epileptic seizure using different machine learning classifiers
(Brac University, 2022-05-29)Analyzing neural signals produced by neurons in the brain, epilepsy can be diagnosed. An electroencephalogram (EEG) measures brain electrical activity, and studying EEG data in order to detect epileptic seizures in their ... -
Detection of epileptic seizure using Support Vector Machine Classifier - extracted features from EEG signals
(Brac University, 2021-06)Epilepsy is the most common neurological issue in people after stroke. Around 40 or 50 million individuals on the planet endure epilepsy. Epilepsy is characterized by an irregular seizure in which abnormal electrical ... -
Epileptic seizure detection by exploiting EEG signals using different decomposition techniques and machine learning approaches
(BRAC University, 2018-12)In recent years, detecting epileptic seizure has gained a high demand in the field of research. It is such a common and high talked brain disorder, since more than 65 million individuals worldwide are affected by this ... -
Epileptic seizure prediction using bandpass filtering and convolutional neural network
(Brac University, 2022-01)Epilepsy, a chronic neurological disorder, causes seizure- a fast, uncontrollable electrical disturbance in the brain. Seizures that last for a long time might result in memory loss, weariness, photo sensitivity, paralysis, ... -
Prediction of Epileptic Seizures using digital signal processing and support vector machine
(Brac University, 2020-04)Epilepsy is a neurological disorder that causes abnormal behavior and recurrent seizures due to unusual brain activity. Our study has attempted to predict seizures in epileptic patients through the process of feature ...
