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Classification of epilepsy EEG signals using DWT-based envelope analysis and neural network ensemble

  • Published:2017-01 Issue: Volume:31 Page:357-365
  • ISSN:1746-8094
  • Container-title:Biomedical Signal Processing and Control
  • language:en
  • Short-container-title:Biomedical Signal Processing and Control

Author:

Li Mingyang,Chen Wanzhong,Zhang Tao

Funder

Natural Science Foundation for Science and Technology Development Plan

Specialized Research Fund for the Doctoral Program of Higher Education

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing

Reference38 articles.

1. Seizure prediction: the long and winding road;Mormann;Brain,2007

2. Hilbert marginal spectrum analysis for automatic seizure detection in EEG signals;Fu;Biomed. Signal Process. Control,2015

3. Automated diagnosis of epileptic EEG using entropies;Acharya;Biomed. Signal Process. Control,2012

4. Noise robustness analysis of sparse representation based classification method for non-stationary EEG signal classification;Shin;Biomed. Signal Process. Control,2015

5. Artificial neural network based epileptic detection using time-domain and frequency-domain features;Srinivasan;Med. Syst.,2003

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