Application of complexity sequence in sleep staging based on sleep EEG data / 生物医学工程学杂志
Journal of Biomedical Engineering
;
(6): 60-63, 2003.
Article
in Chinese
| WPRIM
| ID: wpr-311108
ABSTRACT
In this paper an approach of time-window complexity sequence is applied to sleep EEG analysis. This approach can reduce the loss of state information due to the nonstationarity of EEG signal and the unevenness of state space, and can overcome certain limitations of the complexity itself to some extent. It will help to extract the state features of EEG in different sleep stages. In addition, we preprocess EEG by adopting ICA and wavelet transform (WT). The results show that some physiological artifact in EEG can be eliminated effectively by these methods, and the sleep staging based on sleep EEG data will be more exact.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Physiology
/
Sleep Stages
/
Algorithms
/
Signal Processing, Computer-Assisted
/
Brain
/
Nonlinear Dynamics
/
Electroencephalography
/
Fourier Analysis
Limits:
Humans
Language:
Chinese
Journal:
Journal of Biomedical Engineering
Year:
2003
Type:
Article
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