Brain Epileptic Seizure Detection Using Joint CNN and Exhaustive Feature Selection With RNN-BLSTM Classifier-Reference-Cited by-同舟云学术

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Brain Epileptic Seizure Detection Using Joint CNN and Exhaustive Feature Selection With RNN-BLSTM Classifier

Published:2023 Issue: Volume:11 Page:97990-98004
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Prasanna Chintalpudi S. L.¹,Rahman Md Zia Ur¹^ORCID,Bayleyegn Masreshaw D.²^ORCID

Affiliation:

1. Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, KL University, Vijayawada, Andhra Pradesh, India

2. Center of Biomedical Engineering, Addis Ababa Institute of Technology, Addis Ababa University, Addis Ababa, Ethiopia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10239387.pdf?arnumber=10239387

Reference30 articles.

1. An automated deep learning enabled brain signal classification for epileptic seizure detection on complex measurement systems

2. Epileptic Seizure Detection Based on Variational Mode Decomposition and Deep Forest Using EEG Signals

3. Detection of epileptic seizure disorder using EEG signals

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

5. Modified binary salp swarm algorithm in EEG signal classification for epilepsy seizure detection;ghazali;Biomed Signal Process Control,2022

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Integrated TSVM-TSK fusion for enhanced EEG-based epileptic seizure detection: Robust classifier with competitive learning;Biomedical Signal Processing and Control;2024-10

2. Distance optimization KNN and EMD based lightweight hardware IP core design for EEG epilepsy detection;Microelectronics Journal;2024-09

3. A scheme combining feature fusion and hybrid deep learning models for epileptic seizure detection and prediction;Scientific Reports;2024-07-23

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