Elliptic Seizure Detection on EEG Signals Using Bidirectional Long Short-Term Memory Model-Reference-Cited by-同舟云学术

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Elliptic Seizure Detection on EEG Signals Using Bidirectional Long Short-Term Memory Model

Published:2023-11-02 Issue: Volume: Page:1-5
ISSN:
Container-title:2023 International Conference on Ambient Intelligence, Knowledge Informatics and Industrial Electronics (AIKIIE)
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Author:

Patchala Shreya¹,Kumar Bura Vijay²,Chandrakala Kotha³,Hussein Abbas Hameed Abdul⁴,Jayalakshmi M.⁵

Affiliation:

1. Enquero Global-A Genpact Company,Bengaluru,India

2. School of Computer Science and Artificial Intelligence, SR University,Warangal,India

3. CMR Technical Campus Kandlakoya,Department of Information Technology,Hyderabad,India

4. College of Pharmacy, Ahl Al Bayt University,Karbala,Iraq

5. School of computing Kalasalingam Academy of Research and Education,Department of Computer science and engineering,Krishnankoil,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10389814/10389816/10390060.pdf?arnumber=10390060

Reference15 articles.

1. Epileptic seizure detection in EEG using mutual information-based best individual feature selection

2. A new design of epileptic seizure detection using hybrid heuristic-based weighted feature selection and ensemble learning

3. EEG-based epileptic seizure detection using binary dragonfly algorithm and deep neural network

4. Classification of epileptic seizures from electroencephalogram (EEG) data using bidirectional short-term memory (Bi-LSTM) network architecture

5. Estimating the Efficiency of Machine Learning Algorithms in Predicting Seizure With Convolutional Neural Network Architecture

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