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A fuzzy neural network approach for automatic K-complex detection in sleep EEG signal

  • Published:2018-11 Issue: Volume:115 Page:74-83
  • ISSN:0167-8655
  • Container-title:Pattern Recognition Letters
  • language:en
  • Short-container-title:Pattern Recognition Letters

Author:

Ranjan Rakesh,Arya Rajeev,Fernandes Steven Lawrence,Sravya Erukonda,Jain Vinay

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference51 articles.

1. A comparison of performance of K-complex classification methods using feature selection;Pereira;Inf. Sci.,2016

2. A comparison of performance of sleep spindle classification methods using wavelets;Hernández-Pereira,2016

3. K-complex detection using a hybrid-synergic machine learning method”;Vu;IEEE Trans. Syst. Man Cybern. Part C,2012

4. A method for the automatic analysis of the sleep macrostructure in continuum;Estévez;Expert Syst. Appl,2013

5. A review of feature selection methods on synthetic data;Bolón-Canedo;Knowl. Inf. Syst.,2013

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