A fuzzy inference system for sleep staging

Sheng Fu Liang, Ying Huang Chen, Chih En Kuo, Jyun Yu Chen, Sheng Che Hsu

研究成果: Conference contribution

6 引文 斯高帕斯(Scopus)

摘要

In this paper, a fuzzy inference system for sleep staging was developed. Nine input variables including temporal and spectrum analyses of the EEG, EOG, and EMG signals were extracted and normalization was applied to these variables to reduce the effect of individual variability. A fuzzy inference system contains fourteen fuzzy rules was designed to classify the 30-s sleep epochs as five sleep stages. Finally, a smoothing process was applied to the scoring results for fine-tuning. The average accuracy of the proposed method applied to 16 all-night polysomnography (PSG) recordings compared with the manual scorings can reach 87 %. This method can integrate with various PSG systems for sleep monitoring in clinical or homecare applications.

原文English
主出版物標題FUZZ 2011 - 2011 IEEE International Conference on Fuzzy Systems - Proceedings
頁面2104-2107
頁數4
DOIs
出版狀態Published - 2011 九月 27
事件2011 IEEE International Conference on Fuzzy Systems, FUZZ 2011 - Taipei, Taiwan
持續時間: 2011 六月 272011 六月 30

出版系列

名字IEEE International Conference on Fuzzy Systems
ISSN(列印)1098-7584

Other

Other2011 IEEE International Conference on Fuzzy Systems, FUZZ 2011
國家Taiwan
城市Taipei
期間11-06-2711-06-30

All Science Journal Classification (ASJC) codes

  • Software
  • Theoretical Computer Science
  • Artificial Intelligence
  • Applied Mathematics

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