Analyzing sleep EEG using correlation dimension and approximate entropy / 生物医学工程学杂志
Journal of Biomedical Engineering
;
(6): 649-653, 2005.
Article
in Chinese
| WPRIM
| ID: wpr-354229
ABSTRACT
Correct sleep scoring is the base of sleep studying; nonlinear features of EEG can represent different sleep stages. In this paper, correlation dimension (D2) and approximate entropy (ApEn) of sleep EEG have been calculated. The statistical results reveal that D2 does not come to be saturated when the embedding dimension increases, but the relative value of D2 can effectively distinguish different sleep stages. ApEn has the advantage of calculating simply, steady result and representing preferably different sleep stages. ApEn and the relative value of D2 reveal, from different point of view, the same rule about EEG (brain) complexity changing, that is, both complexity and its fluctuation are maximal in the subject's awake hour, are decreasing with the deepening of sleep, but the complexity in REM is about the level between S1 and S2.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Physiology
/
Sleep
/
Sleep Stages
/
Nonlinear Dynamics
/
Entropy
/
Electroencephalography
Type of study:
Prognostic study
Limits:
Humans
Language:
Chinese
Journal:
Journal of Biomedical Engineering
Year:
2005
Type:
Article
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