Novel method to discriminate awaking and sleep status in light of the power spectral density

摘要: Sleep stages are mainly classified via electroencephalogram (EEG) which involves some prominent characters not only in amplitude but also frequency What is more, researchers using computer assisted analysis to acquire the panoramic view of long duration sleep EEG However, unlike empirical judgment, it fairly difficult decide specific values rules for based due fact that those vary with individuals and different distance from reference signal source on scalps This paper will introduce a novel method power spectral density discriminate awaking, light deep just according features extracted EEG.