Abstract
The process of falling asleep is complicated. Is there a mutation between sleep state and waking state? This paper applied a new specific duration and high-energy sine wave (SDHE) model based on single-channel brainwave to study this problem. The falling asleep moment and awaking moment could be identified through the SDHE. The closest research is AASM criterion. 30 seconds multi-channel brainwave as a frame was used to score the human sleep stage in the criterion. In the Dreams database used in this paper, an expert did the sleep classification of the 20 test subjects according to the AASM criterion. The switching step between waking stage and other sleep stages provided a basis for this paper. Within one minute of the time difference, the Cohen’s Kappa consistency of the discriminant result of the model and the expert was 0.58. In view of the strong and clear law of the SDHE, this paper would have more promising applications and significance in the signal processing of brainwave.
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