Neonatal Seizure Detection Using Atomic Decomposition With a Novel Dictionary-Reference-Cited by-同舟云学术

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Neonatal Seizure Detection Using Atomic Decomposition With a Novel Dictionary

Published:2014-11 Issue:11 Volume:61 Page:2724-2732
ISSN:0018-9294
Container-title:IEEE Transactions on Biomedical Engineering
language:
Short-container-title:IEEE Trans. Biomed. Eng.

Author:

Nagaraj Sunil Belur,Stevenson Nathan J.,Marnane William P.,Boylan Geraldine B.,Lightbody Gordon

Funder

Science Foundation Ireland

Science Foundation Ireland Research Centres

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering

Link

http://xplorestaging.ieee.org/ielx7/10/6924824/06822525.pdf?arnumber=6822525

Cited by 30 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. Automatic Classification Framework for Neonatal Seizure Using Wavelet Scattering Transform and Nearest Component Analysis;IRBM;2024-08

2. A new method for diagnosing epilepsy using dictionary learning;International Journal of Biomedical Engineering and Technology;2023

3. XAI4EEG: spectral and spatio-temporal explanation of deep learning-based seizure detection in EEG time series;Neural Computing and Applications;2022-09-29

4. Neonatal EEG seizure detection using a new signal structural complexity measure based on matching pursuit decomposition with nonstationary dictionary;Computer Methods and Programs in Biomedicine;2022-09

5. Comparison of Empirical Mode Decomposition, Wavelets, and Different Machine Learning Approaches for Patient-Specific Seizure Detection Using Signal-Derived Empirical Dictionary Approach;Frontiers in Digital Health;2021-12-13

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