Development of tuned hybrid fuzzy and BiLSTM-based epileptic seizure classification model with stacked 1D-CNN-fisher discriminant feature selection
Author:
Affiliation:
1. EECE Dept., GST, GITAM (Deemed to be University), Visakhapatnam, Andhra Pradesh, India
Publisher
Informa UK Limited
Subject
Computer Science Applications,Radiology, Nuclear Medicine and imaging,Biomedical Engineering,Computational Mechanics
Link
https://www.tandfonline.com/doi/pdf/10.1080/21681163.2023.2227729
Reference42 articles.
1. Semi-Supervised EEG Signals Classification System for Epileptic Seizure Detection
2. Deep-EEG: An Optimized and Robust Framework and Method for EEG-Based Diagnosis of Epileptic Seizure
3. Nonconvulsive Epileptic Seizure Detection in Scalp EEG Using Multiway Data Analysis
4. Automated FBSE-EWT based learning framework for detection of epileptic seizures using time-segmented EEG signals
5. Personalized Real-Time Federated Learning for Epileptic Seizure Detection
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