An Epileptic Seizure Prediction Method Based on CBAM-3D CNN-LSTM Model

Author:

Lu Xiang1ORCID,Wen Anhao1ORCID,Sun Lei2,Wang Hao1,Guo Yinjing1ORCID,Ren Yande3

Affiliation:

1. College of Electronic and Information Engineering, Shandong University of Science and Technology, Qingdao, China

2. Taian Second Hospital of Traditional Chinese Medicine, Qingdao, China

3. The Affiliated Hospital of Qingdao University, Qingdao, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering,General Medicine

Cited by 9 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. Detection of Seizures Through Pre-Ictal Phase Using Optimized 1D-Capsule Network;2024 IEEE International Conference on Information Technology, Electronics and Intelligent Communication Systems (ICITEICS);2024-06-28

2. Epilepsy Seizure Detection and Prediction using an Approximate Spiking Convolutional Transformer;2024 IEEE International Symposium on Circuits and Systems (ISCAS);2024-05-19

3. Seizure Detection with 2D Spectrogram Using CNN and SVM Integration;2024 1st International Conference on Cognitive, Green and Ubiquitous Computing (IC-CGU);2024-03-01

4. Technological Vanguard: the outstanding performance of the LTY-CNN model for the early prediction of epileptic seizures;Journal of Translational Medicine;2024-02-16

5. New approaches to epileptic seizure prediction based on EEG signals using hybrid CNNs;International Journal of Intelligent Engineering Informatics;2024

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