Correlation analysis between EEG data and facial expressions and sleep behaviors

Aims To date, several methods were presented to assess the sleep quality, including the subjective and objective methods in clinic. In the present study, the concept-of-prosleep quality assessment method was assessed through EEG data, facial expressions, and sleep behaviors and to explore the correlation between EEG data and facial expression and sleep behavior.Methods Sleep EEG data was collected by The Philips Alice 6LDE system, facial expressions was collected from top, left and right angles by infrared camera, sleep behavior was recorded by 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 behavior was the least in the 3-4 hours of sleep, and natural facial expression was the largest in the 3-4 hours of sleep. And the correlation analysis results showed that the changes of each band under different channels were correlated with facial expressions (p < 0.05).Conclusion This experiment showed the changes of sleep EEG, sleep behaviors and sleep facial expression during sleep, and found the correlation between sleep EEG data and sleep facial expression.