Epileptic Seizure Detection Based on Path Signature and Bi-LSTM Network With Attention Mechanism-Reference-Cited by-同舟云学术

Epileptic Seizure Detection Based on Path Signature and Bi-LSTM Network With Attention Mechanism

Published:2024 Issue: Volume:32 Page:304-313
ISSN:1534-4320
Container-title:IEEE Transactions on Neural Systems and Rehabilitation Engineering
language:
Short-container-title:IEEE Trans. Neural Syst. Rehabil. Eng.

Author:

Tang Yixuan¹^ORCID,Wu Qianyi²^ORCID,Mao Haifeng³^ORCID,Guo Lihua¹^ORCID

Affiliation:

1. School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China

2. Institute of Neuroscience, Department of Neurology and Epilepsy Center, Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China

3. Department of Emergency, Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China

Funder

Guangdong Basic and Applied Basic Research Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7333/10398877/10381774.pdf?arnumber=10381774

Reference35 articles.

1. Epilepsy in adults

2. Network Perspectives on Epilepsy Using EEG/MEG Source Connectivity

3. Simple Detection of Epilepsy From EEG Signal Using Local Binary Pattern Transition Histogram

4. Tunable-Q Wavelet Transform Based Multiscale Entropy Measure for Automated Classification of Epileptic EEG Signals

5. A Multivariate Approach for Patient-Specific EEG Seizure Detection Using Empirical Wavelet Transform

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3. Single-channel seizure detection with clinical confirmation of seizure locations using CHB-MIT dataset;Frontiers in Neurology;2024-05-20

4. Epileptic Seizure Diagnosis using Bayesian Belief Network and T-CNN;2024 International Conference on Knowledge Engineering and Communication Systems (ICKECS);2024-04-18