Semi-Supervised Seizure Prediction Based on Deep Pairwise Representation Alignment of Epileptic EEG Signals-Reference-Cited by-同舟云学术

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Semi-Supervised Seizure Prediction Based on Deep Pairwise Representation Alignment of Epileptic EEG Signals

Published:2024 Issue: Volume:12 Page:119056-119071
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Qi Nan¹^ORCID,Piao Yan¹^ORCID,Wang Qi¹,Li Xin¹^ORCID,Wang Yue¹^ORCID

Affiliation:

1. Department of Electronic and Information Engineering, Changchun University of Science and Technology, Changchun, China

Funder

Jilin Natural Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10643522.pdf?arnumber=10643522

Reference49 articles.

1. Automated EEG analysis of epilepsy: A review

2. A Two-Layer Ensemble Method for Detecting Epileptic Seizures Using a Self-Annotation Bracelet With Motor Sensors

3. Deep learning-based electroencephalography analysis: a systematic review

4. GANSER: A Self-supervised Data Augmentation Framework for EEG-based Emotion Recognition

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