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Automatic epileptic EEG detection using DT-CWT-based non-linear features

  • Published:2017-04 Issue: Volume:34 Page:114-125
  • 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

Specialized Research Fund for the Doctoral Program of Higher Education of China

Graduate Innovation Fund of Jilin University and Natural Science Foundation for Science and Technology Development Plan of Jilin Province, China

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing

Reference48 articles.

1. A new approach for epileptic seizure detection: sample entropy based feature extraction and extreme learning machine;Song;J. Biomed. Sci. Eng.,2010

2. World Health Organization, Epilepsy, http://www.who.int/mental_health/neurology/epilepsy/en/index.html. (Accessed September 2015).

3. A novel statistical algorithm for multiclass EEG signal classification engineering;Siuly;Appl. Artif. Intell.,2014

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

5. Epileptic EEG detection using the linear prediction error energy;Altunay;Expert Syst. Appl.,2010
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