Combination of genetic algorithm and hidden markov model for EEG-based automatic sleep staging

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

研究成果: Conference contribution

摘要

In this paper, we propose a strategy that combines Genetic Algorithm (GA) and HMM to improve the recognition rate of sleep staging. The GA is used to train a better codebook for HMM. With this method, the accuracy and efficiency of sleep medical diagnosis can be expected to be improved. Moreover, some features used in other research are selected as supporting features. These features are used to train the HMM model and then fed into the trained HMM for recognition. Unlike the existing research on sleep staging by HMM, in which the modeling of HMM is independent of the special properties of the sleep stage transition, the HMM in this study is adjusted to meet these properties. The experimental results show that the proposed method greatly enhances the recognition rate compared with other existing research.

原文English
主出版物標題Proceedings of the 2nd International Conference on Intelligent Technologies and Engineering Systems, ICITES 2013
編輯Cheng-Yi Chen, Cheng-Fu Yang, Jengnan Juang
發行者Springer Verlag
頁面891-898
頁數8
ISBN(電子)9783319045726
DOIs
出版狀態Published - 2014 一月 1
事件2nd International Conference on Intelligent Technologies and Engineering Systems, ICITES 2013 - Kaohsiung, Taiwan
持續時間: 2013 十二月 122013 十二月 14

出版系列

名字Lecture Notes in Electrical Engineering
293
ISSN(列印)1876-1100
ISSN(電子)1876-1119

Other

Other2nd International Conference on Intelligent Technologies and Engineering Systems, ICITES 2013
國家/地區Taiwan
城市Kaohsiung
期間13-12-1213-12-14

All Science Journal Classification (ASJC) codes

  • 工業與製造工程

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