A rule-based automatic sleep staging method

被引：98

作者：

Liang, Sheng-Fu ^{[1
,2
]}

Kuo, Chin-En ^{[1
]}

Hu, Yu-Han ^{[1
]}

Cheng, Yu-Shian ^{[2
]}

机构：

[1] Natl Cheng Kung Univ, Dept Comp Sci & Informat Engn, Tainan 701, Taiwan

[2] Natl Cheng Kung Univ, Inst Med Informat, Tainan 701, Taiwan

来源：

JOURNAL OF NEUROSCIENCE METHODS | 2012年 / 205卷 / 01期

关键词：

Automatic sleep staging; Decision tree; PSG; Kappa; NEURAL-NETWORK; CLASSIFICATION; RECHTSCHAFFEN; AGREEMENT; KALES; EEG; RELIABILITY; VALIDATION; AASM;

D O I：

10.1016/j.jneumeth.2011.12.022

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

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. (C) 2012 Elsevier B.V. All rights reserved.

引用

页码：169 / 176

页数：8

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