NDLI: Analysis of Electroencephalogram Signals in Different Sleep Stages using Detrended Fluctuation Analysis

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Analysis of Electroencephalogram Signals in Different Sleep Stages using Detrended Fluctuation Analysis

Content Provider	Semantic Scholar
Author	Goshvarpour, Ateke Abbasi, Ataollah Goshvarpour, Atefeh
Copyright Year	2013
Abstract	Scaling behavior is an indicator of the lack of characteristic time scale, and the existence of long- range correlations related to physiological constancy preservation. To investigate the fluctuations of the sleep electroencephalogram (EEG) over various time scales during different sleep stages detrended fluctuation analysis (DFA) is studied. The sleep EEG signals for analysis were obtained fro m the Sleep-EDF Database available online at the PhysioBank. The DFA computations were performed in different sleep stages. The scaling behavior of these time series was investigated with detrended fluctuation analysis (window size : 50 to 500). The results show that the mean values of scaling exponents were lo wer in subjects during stage 4 and standard deviation of scaling exponents of stage 4 was larger than that of the other stages. In contrast, the mean value of scaling exponents of stage 2 was larger, wh ile a small variat ion of scaling exponent is observed at this stage. Therefore, DFA has a more stable behavior in stage 2, whereas the random variability and unpredictable behavior of DFA can be observed in the stage 4. In conclusion, scaling exponent indices are efficacious in quantifying EEG signals in different sleep stages.
Starting Page	49
Ending Page	55
Page Count	7
File Format	PDF HTM / HTML
DOI	10.5815/ijigsp.2013.12.07
Volume Number	5
Alternate Webpage(s)	http://www.mecs-press.org/ijigsp/ijigsp-v5-n12/IJIGSP-V5-N12-7.pdf
Alternate Webpage(s)	http://ee.sut.ac.ir/Labs/CNLab/files/j6.pdf
Alternate Webpage(s)	https://doi.org/10.5815/ijigsp.2013.12.07
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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