Automatic detection of epileptic seizure events using the time-frequency features and machine learning-Reference-Cited by-同舟云学术

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Automatic detection of epileptic seizure events using the time-frequency features and machine learning

Published:2021-08 Issue: Volume:69 Page:102916
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Zeng Jiale,Tan Xiao-dan,Zhan Chang'an A.

Funder

Guangzhou Municipal Science and Technology Project

Bureau of Education of Guangzhou Municipality

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing

Reference47 articles.

1. ILAE Official Report: A practical clinical definition of epilepsy;Fisher;Epilepsia,2014

2. M. Kaleem D. Gurve A. Guergachi S. Krishnan Patient-specific seizure detection in long-term EEG using signal-derived empirical mode decomposition (EMD)-based dictionary approach J. Neural Eng. 15 5 2018 056004.1-056004.14 10.1088/1741-2552/aaceb1.

3. Patterns of epileptic seizure occurrence;Amengual-Gual;Brain research.,2019

4. Non-convulsive status epilepticus in adults: clinical forms and treatment;Meierkord;The Lancet Neurology,2007

5. Long-term epileptic EEG classification via 2D mapping and textural features;Samiee;Expert Syst. Appl.,2015

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4. A Secure and Interpretable AI for Smart Healthcare System: A Case Study on Epilepsy Diagnosis Using EEG Signals;IEEE Journal of Biomedical and Health Informatics;2024-06

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