Centroid-Guided Domain Incremental Learning for EEG-Based Seizure Prediction-Reference-Cited by-同舟云学术

Centroid-Guided Domain Incremental Learning for EEG-Based Seizure Prediction

Published:2024 Issue: Volume:73 Page:1-13
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Deng Zhiwei¹^ORCID,Li Chang¹^ORCID,Song Rencheng¹^ORCID,Liu Xiang²^ORCID,Qian Ruobing²^ORCID,Chen Xun³^ORCID

Affiliation:

1. Department of Biomedical Engineering, Hefei University of Technology, Hefei, China

2. Department of Neurosurgery, Epilepsy Centre, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China

3. Department of Neurosurgery, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/10367905/10322734.pdf?arnumber=10322734

Reference48 articles.

1. Epilepsy in adults

2. Seizure anticipation in human neocortical partial epilepsy

3. Toward Open-World Electroencephalogram Decoding Via Deep Learning: A comprehensive survey

4. Anticipation of epileptic seizures from standard EEG recordings

5. Convolutional neural networks for seizure prediction using intracranial and scalp electroencephalogram

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