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Abstract
Aims
To date, several methods were presented to assess sleep quality, including subjective and objective methods in the clinic. In the present study, the concept-of-sleep quality assessment method was assessed through EEG data, facial expressions, and sleep behaviours and to explore the correlation between EEG data and facial expressions and sleep behavior.
Methods
Sleep EEG data was collected by The Philips Alice 6LDE system, facial expressions were collected from top, left and right angles by an infrared camera, and sleep behavior was recorded by a full-view camera. EEG data were analyzed by EEGLAB, Noldus FaceReader software and Observer XT analyzed facial expression and sleep behavior.
Results
The average power of each band of EEG fluctuated up and down during sleep, the frequency of sleep behaviour was the least in the 3-4 h of sleep, and natural facial expression was the largest in the 3-4 h of sleep. And the correlation analysis results showed that the changes in each band under different channels were correlated with facial expressions (p < 0.05).
Conclusion
This experiment showed the changes in sleep EEG, sleep behaviors and sleep facial expression during sleep, and found the correlation between sleep EEG data and sleep facial expression.
Disclosure statement
No potential conflict of interest was reported by the author(s).