EEG Based Epileptic Seizure Detection Using Deep Learning and Machine Learning Model
- 2 October 2025
- book chapter
- Published by Springer Nature
- p. 207-216
Abstract
No abstract availableKeywords
This publication has 23 references indexed in Scilit:
- Extracting epileptic features in EEGs using a dual-tree complex wavelet transform coupled with a classification algorithmBrain Research, 2022
- Surface EEG based epileptic seizure detection using wavelet based features and dynamic mode decomposition power along with KNN classifierMultimedia Tools and Applications, 2021
- Deep learning based efficient epileptic seizure prediction with EEG channel optimizationBiomedical Signal Processing and Control, 2021
- EEG signal processing for epilepsy seizure detection using 5-level Db4 discrete wavelet transform, GA-based feature selection and ANN/SVM classifiersJournal of Ambient Intelligence and Humanized Computing, 2021
- Multi-channel EEG based automatic epileptic seizure detection using iterative filtering decomposition and Hidden Markov ModelComputers in Biology and Medicine, 2020
- Wavelet based deep learning approach for epilepsy detectionHealth Information Science and Systems, 2019
- Epileptic Seizure Prediction Using Big Data and Deep Learning: Toward a Mobile SystemEBioMedicine, 2018
- Epileptic seizure detection using hybrid machine learning methodsNeural Computing and Applications, 2017
- Support Vector Machine Based Extraction of Crime Information in Human Brain Using ERP Image2016
- A novel robust diagnostic model to detect seizures in electroencephalographyExpert Systems with Applications, 2016