↓ Skip to main content

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

Overview of attention for article published in Physical and Engineering Sciences in Medicine, March 2016
Altmetric Badge

Mentioned by

twitter
2 X users

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
23 Mendeley
Title
Temporal correlation between two channels EEG of bipolar lead in the head midline is associated with sleep-wake stages
Published in
Physical and Engineering Sciences in Medicine, March 2016
DOI 10.1007/s13246-015-0409-7
Pubmed ID
Authors

Yanjun Li, Xiaoying Tang, Zhi Xu, Weifeng Liu, Jing Li

Abstract

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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 13%
Student > Doctoral Student 2 9%
Lecturer 2 9%
Unspecified 2 9%
Student > Bachelor 2 9%
Other 5 22%
Unknown 7 30%
Readers by discipline Count As %
Engineering 5 22%
Unspecified 2 9%
Neuroscience 2 9%
Agricultural and Biological Sciences 1 4%
Computer Science 1 4%
Other 4 17%
Unknown 8 35%