Sample entropy analysis of EEG in ischemic stroke patients
10.3760/cma.j.issn.1673-4181.2015.03.003
- VernacularTitle:缺血性脑卒中患者脑电信号的样本熵特征分析
- Author:
Chunfang WANG
;
Changcheng SUN
;
Xi ZHANG
;
Yongjun WANG
;
Hongzhi QI
;
Feng HE
;
Xin ZHAO
;
Baikun WAN
;
Ying ZHANG
;
Jingang DU
;
Dong MING
- Publication Type:Journal Article
- Keywords:
Ischemic stroke;
Electroencephalogram;
Sample entropy;
Course
- From:
International Journal of Biomedical Engineering
2015;(3):138-142,147
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the nonlinear complexity characteristics of electroencephalogram (EEG) in ischemic stroke patients with different course. Methods Sample entropy of all bands of EEG signals in 20 ischemic stroke patients and 10 healthy controls was extracted and analyzed using statistical analysis methods. Results The full-band EEG in sample entropy of stroke patients was significantly lower than that of healthy controls in most locations. Theα-band sample entropy of different course had significant differences in the frontal, temporal and occipital lobe (P<0.05), and the parameters had significant negative linear correlation with the post-stroke time in some locations. Conclusions There is an abnormal neural electrical activity in post-stroke patients. It is feasible to detect the aberrant EEG complexity using sample entropy, which is worth of further research.
