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Sleep EEG Staging Studies Based on Relief Algorithm

  • Huaping Jia
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 163)

Abstract

Using the approximate entropy method for sleep staging EEG signal, But to the sleep stage III and IV approximate entropy value is very close, So by the approximate entropy cannot be distinguished, the results of stage III and IV EEG signal AR modeling, as the EEG signal characteristic coefficient, use of Probabilistic neural network method and Relief algorithm to distinguished sleep stage III and IV, Relief algorithm achieve a good effect.

Keywords

Sleep EEG (electroencephalograph) staging Approximate entropy Probabilistic neural network Relief algorithm 

Notes

Acknowledgement

This work was supported by Shaanxi Provincial Department of Education Special research projects (11JK0480), Shaanxi nature science foundation research programs (2011JM1010) and WeiNan Teachers University key research projects (11YKF011).

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Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  1. 1.College of Mathematics and Information ScienceWeinan Teachers’ UniversityWeinanPeople’s Republic of China
  2. 2.Center of Network Engineering TechnologyWeinan Teachers’ UniversityWeinanPeople’s Republic of China

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