Application of Genetic Algorithm and Fuzzy Vector Quantization on EEG-based automatic sleep staging by using Hidden Markov Model

Sheng Fu Liang, Ching Fa Chen, Jian Hong Zeng, Shing Tai Pan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

The Genetic Algorithm (GA) and Fuzzy Vector Quantization (FVQ) are combined in this paper to improve the performance of sleep staging. We use GA to train a codebook for Hidden Markov Model (HMM) and use FVQ to model HMM to improve the performance of the HMM. This paper adopts the sleep features of EEG based on 1968's R&K rules as well as the features used in other research for sleep staging. All the selected features are used to train HMM model and then are fed into the HMM model for recognition. In the previous researches, the modeling of HMM is independent of the special properties of the sleep stage transition. In this study, the HMM modeling is designed to meet the special properties of sleep stage transition. The experimental results in this paper show that the proposed method greatly enhances the recognition rate compared with those in other existing researches.

Original languageEnglish
Title of host publicationProceedings of 2014 International Conference on Machine Learning and Cybernetics, ICMLC 2014
PublisherIEEE Computer Society
Pages567-572
Number of pages6
ISBN (Electronic)9781479942169
DOIs
Publication statusPublished - 2014 Jan 13
Event13th International Conference on Machine Learning and Cybernetics, ICMLC 2014 - Lanzhou, China
Duration: 2014 Jul 132014 Jul 16

Publication series

NameProceedings - International Conference on Machine Learning and Cybernetics
Volume2
ISSN (Print)2160-133X
ISSN (Electronic)2160-1348

Other

Other13th International Conference on Machine Learning and Cybernetics, ICMLC 2014
CountryChina
CityLanzhou
Period14-07-1314-07-16

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Computer Networks and Communications
  • Human-Computer Interaction

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