Characterizing Sleep Stages by the Fractal Dimensions of Electroencephalograms
نویسندگان
چکیده
منابع مشابه
Characterizing Sleep Stages by the Fractal Dimensions of Electroencephalograms
Fourier analysis has shown that human electroencephalography (EEG) signals mainly consist of frequencies below 80 Hz. Waves with a frequency below 13Hz are dominant during sleep. Here we find that the fractal dimensions of sleep EEG results in a frequency range of 2Hz to 13Hz have potential to be used as a continuous parameter to characterize sleep status. Our results show that during sleep, th...
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ژورنال
عنوان ژورنال: Biostatistics and Biometrics Open Access Journal
سال: 2017
ISSN: 2573-2633
DOI: 10.19080/bboaj.2017.02.555584