Epileptic Seizure Prediction on EEG Data using a Firefly Algorithm trained with Deep Neural Networks-Reference-Cited by-同舟云学术

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Epileptic Seizure Prediction on EEG Data using a Firefly Algorithm trained with Deep Neural Networks

Published:2024-02-23 Issue: Volume: Page:1-5
ISSN:
Container-title:2024 International Conference on Integrated Circuits and Communication Systems (ICICACS)
language:
Short-container-title:

Author:

P Anandan¹,N Anbuselvan²

Affiliation:

1. Saveetha Institute of Medical and Technical Sciences,Saveetha School of Engineering,Department of Electronics and Communication Engineering,Chennai,Tamil Nadu,India

2. Saveetha Institute of Medical and Technical Sciences,Saveetha School of Engineering,Department of Electrical and Electronics Engineering,Chennai,Tamil Nadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10498131/10498150/10498609.pdf?arnumber=10498609

Reference18 articles.

1. EEG-Based Epileptic Seizure Detection via Machine/Deep Learning Approaches: A Systematic Review

2. Epileptic Seizures Detection in EEG Signals Using Fusion Handcrafted and Deep Learning Features

3. Accuracy Enhancement of Epileptic Seizure Detection: A Deep Learning Approach with Hardware Realization of STFT

4. EEG signal processing for epilepsy seizure detection using 5-level Db4 discrete wavelet transform, GA-based feature selection and ANN/SVM classifiers

5. A combination of statistical parameters for epileptic seizure detection and classification using VMD and NLTWSVM

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