Avoiding Post-Processing With Event-Based Detection in Biomedical Signals-Reference-Cited by-同舟云学术

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Avoiding Post-Processing With Event-Based Detection in Biomedical Signals

Published:2024-08 Issue:8 Volume:71 Page:2442-2453
ISSN:0018-9294
Container-title:IEEE Transactions on Biomedical Engineering
language:
Short-container-title:IEEE Trans. Biomed. Eng.

Author:

Seeuws Nick¹^ORCID,De Vos Maarten²^ORCID,Bertrand Alexander²^ORCID

Affiliation:

1. Department of Electrical Engineering (ESAT), Stadius Center for Dynamical Systems, Signal Processing and Data Analytics (STADIUS), Leuven, Belgium

2. Department of Electrical Engineering (ESAT), Stadius Center for Dynamical Systems, Signal Processing and Data Analytics (STADIUS), Belgium

Funder

European Research Council

Vlaamse regering

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/10/10604459/10465660.pdf?arnumber=10465660

Reference34 articles.

1. Automatic annotation correction for wearable EEG based epileptic seizure detection

2. Visual seizure annotation and automated seizure detection using behind‐the‐ear electroencephalographic channels

3. Epileptic Seizure Detection in EEG via Fusion of Multi-View Attention-Gated U-Net Deep Neural Networks

4. Neonatal Seizure Detection Using Deep Convolutional Neural Networks

5. DeepSleep convolutional neural network allows accurate and fast detection of sleep arousal

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