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- W865151724 abstract "Sleep Electroencephalogram (Sleep EEG) detection and treatment can provide the basis for clinical diagnosis and treatment. According to the non-stationary random character of EEG itself, the paper proposed multiscale sign series entropy (MSSE) method and applied it to the state of sleep EEG analysis. Numerical results showed that, MSSE method can effectively differentiate awake period β wave and sleep stage β wave even if under the influence of the noise. The results show that the algorithm can aid in clinical diagnosis of sleep EEG. Keywords-sleep electroencephalogram; multiscale sign series entropy; clinical diagnosis" @default.
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- W865151724 date "2015-01-01" @default.
- W865151724 modified "2023-09-23" @default.
- W865151724 title "Beta Wave of Sleep Electroencephalogram Analysis Based on Multiscale Sign Series Entropy" @default.
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- W865151724 doi "https://doi.org/10.2991/aiie-15.2015.108" @default.
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