A multi-dimensional hybrid CNN-BiLSTM framework for epileptic seizure detection using electroencephalogram signal scrutiny

A multi-dimensional hybrid CNN-BiLSTM framework for epileptic seizure detection using electroencephalogram signal scrutiny

The proposed hybrid CNN-BiLSTM architecture aims to address the challenge of detecting epileptic seizures systematically from EEG signal analysis. The system consists of several stages, including preprocessing, feature extraction using multi-dimensional CNN, temporal feature processing using BiLSTM,...

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Bibliographic Details
Main Authors: Aravind Britto K．R, Saravanan Srinivasan, Sandeep Kumar Mathivanan, Muthukumaran Venkatesan, Benjula Anbu Malar M．B, Saurav Mallik, Hong Qin
Format: Article
Language:English
Published: Elsevier 2023-12-01
Series:Systems and Soft Computing
Subjects:
Electroencephalogram
Multi-dimensional convolutional network
Bi-long-short term memory
Epileptic seizure detection
Signal scrutiny
Online Access:http://www.sciencedirect.com/science/article/pii/S2772941923000157

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http://www.sciencedirect.com/science/article/pii/S2772941923000157

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