Temporal correlation between two channels EEG of bipolar lead in the head midline is associated with sleep-wake stages

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• 作者：Yanjun Li ; Xiaoying Tang ; Zhi Xu…
• 关键词：EEG ; Sleep stage classification ; Sleep scoring ; Sleep ; wake classification ; Correlation coefficient ; Temporal correlation ; Synchronization
• 刊名：Australasian Physical & Engineering Sciences in Medicine
• 出版年：2016
• 出版时间：March 2016
• 年：2016
• 卷：39
• 期：1
• 页码：147-155
• 全文大小：1,097 KB
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• 作者单位：Yanjun Li (1) (2)
  Xiaoying Tang (1)
  Zhi Xu (1) (2)
  Weifeng Liu (1)
  Jing Li (1)
  
  1. School of Life Science, Beijing Institute of Technology, Beijing, 100081, China
  2. State Key Laboratory of Space Medicine Fundamentals and Application, China Astronaut Research and Training Center, Beijing, 100094, China
  
• 刊物主题：Biomedicine general; Biophysics and Biological Physics; Medical and Radiation Physics; Biomedical Engineering;
• 出版者：Springer Netherlands
• ISSN：1879-5447

文摘

Whether the temporal correlation between inter-leads Electroencephalogram (EEG) that located on the boundary between left and right brain hemispheres is associated with sleep stages or not is still unknown. The purpose of this paper is to evaluate the role of correlation coefficients between EEG leads Fpz-Cz and Pz-Oz for automatic classification of sleep stages. A total number of 39 EEG recordings (about 20 h each) were selected from the expanded sleep database in European data format for temporal correlation analysis. Original waveform of EEG was decomposed into sub-bands δ (1–4 Hz), θ (4–8 Hz), α (8–13 Hz) and β (13–30 Hz). The correlation coefficient between original EEG leads Fpz-Cz and Pz-Oz within frequency band 0.5–30 Hz was defined as r _EEG and was calculated every 30 s, while that between the two leads EEG in sub-bands δ, θ, α and β were defined as r _δ, r _θ, r _α and r _β, respectively. Classification of wakefulness and sleep was processed by fixed threshold that derived from the probability density function of correlation coefficients. There was no correlation between EEG leads Fpz-Cz and Pz-Oz during wakefulness (|r| < 0.1 for r _θ, r _α and r _β, while 0.3 > r > 0.1 for r _EEG and r _δ), while low correlation existed during sleep (r ≈ −0.4 for r _EEG, r _δ, r _θ, r _α and r _β). There were significant differences (analysis of variance, P < 0.001) for r _EEG, r _δ, r _θ, r _α and r _β during sleep when in comparison with that during wakefulness, respectively. The accuracy for distinguishing states between wakefulness and sleep was 94.2, 93.4, 89.4, 85.2 and 91.4 % in terms of r _EEG, r _δ, r _θ, r _α and r _β, respectively. However, no correlation index between EEG leads Fpz-Cz and Pz-Oz could distinguish all five types of wakefulness, rapid eye movement (REM) sleep, N1 sleep, N2 sleep and N3 sleep. In conclusion, the temporal correlation between EEG bipolar leads Fpz-Cz and Pz-Oz are highly associated with sleep-wake stages. Moreover, high accuracy of sleep-wake classification could be achieved by the temporal correlation within frequency band 0.5–30 Hz between EEG leads Fpz-Cz and Pz-Oz.