Epileptic Seizure Detection Based on Bidirectional Gated Recurrent Unit Network-Reference-Cited by-同舟云学术

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Epileptic Seizure Detection Based on Bidirectional Gated Recurrent Unit Network

Published:2022 Issue: Volume:30 Page:135-145
ISSN:1534-4320
Container-title:IEEE Transactions on Neural Systems and Rehabilitation Engineering
language:
Short-container-title:IEEE Trans. Neural Syst. Rehabil. Eng.

Author:

Zhang Yanli^ORCID,Yao Shuxin,Yang Rendi,Liu Xiaojia,Qiu Wenlong,Han Luben,Zhou Weidong^ORCID,Shang Wei^ORCID

Funder

National Natural Science Foundation of China

Shandong Provincial Science and Technology Support Program of Youth Innovation Team in Colleges

Ph.D. Research Startup Foundation of Shandong Technology and Business University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering,General Neuroscience,Internal Medicine,Rehabilitation

Link

http://xplorestaging.ieee.org/ielx7/7333/9695946/09682722.pdf?arnumber=9682722

Reference48 articles.

1. Automated patient-specific classification of long-term Electroencephalography

2. An Effective Dual Self-Attention Residual Network for Seizure Prediction

3. GRU-Auto-Encoder neural network based methods for diagnosing abnormal operating conditions of steam drums in coal gasification plants

4. Modeling pedestrians’ near-accident events at signalized intersections using gated recurrent unit (GRU)

5. The effect of calibration data length on the performance of a conceptual hydrological model versus LSTM and GRU: A case study for six basins from the CAMELS dataset

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1. A novel universal deep learning approach for accurate detection of epilepsy;Medical Engineering & Physics;2024-09

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

3. Seizure Detection of EEG Signals Based on Multi-Channel Long- and Short-Term Memory-Like Spiking Neural Model;International Journal of Neural Systems;2024-07-13

4. End-to-end model for automatic seizure detection using supervised contrastive learning;Engineering Applications of Artificial Intelligence;2024-07

5. Software advancements in automatic epilepsy diagnosis and seizure detection: 10-year review;Artificial Intelligence Review;2024-06-21

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