Long Short-Term Memory (LSTM) based Epileptic Seizure Recognition

Le résumé fourni par la source

Epilepsy is the second most common brain disorder after migraine; automatic detection of epileptic seizures can considerably improve the patients" quality of life.Current Electroencephalogram (EEG)-based seizure detection systems encounter many challenges in real-life situations; EEG data are prone to numerous noise types that negatively affect the detection accuracy of epileptic seizures.To address this challenge, we propose a deep learning-based approach that learns the discriminative EEG features of epileptic seizures and to distinguish between the different types of patient recordings.More specifically, we aim to tackle this issue by using a Long Short-Term Memory network, and explore the capabilities of this model.

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