Automatic focal and non-focal EEG detection using entropy-based features from flexible analytic wavelet transform-Reference-Cited by-同舟云学术

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Automatic focal and non-focal EEG detection using entropy-based features from flexible analytic wavelet transform

Published:2020-03 Issue: Volume:57 Page:101761
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

You Yang,Chen Wanzhong,Li Mingyang,Zhang Tao^ORCID,Jiang Yun,Zheng Xiao

Funder

Science and technology development project of Jilin Province

Fundamental Research Funds for the Central Universities

Natural Science Foundation for Science and Technology Development Plan of Jilin Province, China

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing

Reference55 articles.

1. A novel robust diagnostic model to detect seizures in electroencephalography;Swami;Expert Syst. Appl.,2016

2. Detection of epilepsy with electroencephalogram using rule-based classifiers;Wang;Neurocomputing,2016

3. A multivariate approach for patient-specific EEG seizure detection using empirical wavelet transform;Bhattacharyya;IEEE Trans. Inf. Technol. Biomed.,2017

4. World Health Organization,2019

5. Vagus nerve stimulation for partial seizures;Panebianco;Cochrane Database Syst. Rev.,2015

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