ECG-Based Prediction of Epileptic Seizures Using Machine Learning Methods-Reference-Cited by-同舟云学术

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ECG-Based Prediction of Epileptic Seizures Using Machine Learning Methods

Published:2022-03-02 Issue: Volume: Page:
ISSN:
Container-title:2022 9th Iranian Joint Congress on Fuzzy and Intelligent Systems (CFIS)
language:
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Author:

Seifi Bahare¹,Barfi Mahsa²,Esmaeilpour Mansour³

Affiliation:

1. Islamic Azad University,Hamedan Branch,Computer Engineering Department,Hamedan,Iran

2. Bu-Ali Sina University,Electrical Engineering Department,Hamedan,Iran

3. Islamic Azad University,Hamedan Branch,Mansour Esmaeilpour, Computer Engineering Department,Hamedan,Iran

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9756443/9756418/09756421.pdf?arnumber=9756421

Reference31 articles.

1. Implementation of Classification Algorithms in Educational Data using Weka Tool

2. Naïve Bayes Classifier for Journal Quartile Classification

3. Operational classification of seizure types by the International League Against Epilepsy: Position Paper of the ILAE Commission for Classification and Terminology

4. Definition of drug resistant epilepsy: Consensus proposal by the ad hoc Task Force of the ILAE Commission on Therapeutic Strategies

5. An efficient unsupervised fetal QRS complex detection from abdominal maternal ECG

Cited by 4 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. Improving the Performance of ECG-based Epileptic Seizure Prediction using Wavelet and Variational Mode Decomposition;2023 IEEE 4th Annual Flagship India Council International Subsections Conference (INDISCON);2023-08-05

2. Improving the Performance of ECG-based Epileptic Seizure Prediction;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06

3. Patient-specific approach using data fusion and adversarial training for epileptic seizure prediction;Frontiers in Computational Neuroscience;2023-05-04

4. Application of Entropy for Automated Detection of Neurological Disorders With Electroencephalogram Signals: A Review of the Last Decade (2012–2022);IEEE Access;2023

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