Work

Characterizing Sleep Stages by the Fractal Dimensions of Electroencephalograms

Year: 2017

Type: article

Abstract: 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, the fractal dimension is high during REM stage and decreases with subsequent sleep stages according to the standard scheme [1].The lowest value of the fractal dimension for any subject's sleep EEG occurs at N3 (deep sleep).

Source: Biostatistics and Biometrics Open Access Journal

DOI: 10.19080/bboaj.2017.02.555584

Author: Jiann-Yeu Chen

Institutions: National Chung Hsing University, National Taipei University

Language: English

Topic: EEG and Brain-Computer Interfaces

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

Open Access status: diamond

Funders: National Center for Theoretical Sciences, National Science Council

Award: G3022470394