A rule-based automatic sleep staging method

Sheng Fu Liang, Chin En Kuo, Yu Han Hu, Yu Shian Cheng

研究成果: Article同行評審

79 引文 斯高帕斯(Scopus)

摘要

In this paper, a rule-based automatic sleep staging method was proposed. Twelve features including temporal and spectrum analyses of the EEG, EOG, and EMG signals were utilized. Normalization was applied to each feature to eliminating individual differences. A hierarchical decision tree with fourteen rules was constructed for sleep stage classification. Finally, a smoothing process considering the temporal contextual information was applied for the continuity. The overall agreement and kappa coefficient of the proposed method applied to the all night polysomnography (PSG) of seventeen healthy subjects compared with the manual scorings by R&K rules can reach 86.68% and 0.79, respectively. This method can integrate with portable PSG system for sleep evaluation at-home in the near future.

原文English
頁(從 - 到)169-176
頁數8
期刊Journal of Neuroscience Methods
205
發行號1
DOIs
出版狀態Published - 2012 三月 30

All Science Journal Classification (ASJC) codes

  • Neuroscience(all)

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