대한한의진단학회지 (The Journal of the Society of Korean Medicine Diagnostics)
- 제11권2호
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- Pages.128-140
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- 2007
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- 1226-5241(pISSN)
비선형 동역학적 방법을 통한 뇌파 복잡도와 임피던스 심장기록법(ICG) 지표와의 상관성 연구
A Study on the Correlationship between EEG Complexity by Nonlinear Dynamics Analysis and Impedance Cardiography
- Ryu, Jae-Min (Dept. of Biofunctional Medicine and Diagnosis, College of Oriental Medicine, Kyung-Hee University) ;
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Park, Young-Bae
(Dept. of Biofunctional Medicine and Diagnosis, College of Oriental Medicine, Kyung-Hee University) ;
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Park, Young-Jae
(Dept. of Biofunctional Medicine and Diagnosis, College of Oriental Medicine, Kyung-Hee University)
- 발행 : 2007.12.31
초록
Purpose: We performed this study to examine the correlationship between EEG complexity and impedance cardiography data using correlation analysis. Method: This study performed on 30 healthy subjects(16 males, 14 females). Before and after natural respiration, ICG data were recorded, and EEG raw data were measured by moving windows during 15 minutes. The correlation dimension(D2) was calculated from 15 minutes data. 8 channels EEG data were analysed with 9 index of ICG data by correlation analysis. Result: 1. ACI of impedance cardiography had significant correlationship with ch.4 of EEG complexity(p=0.03). 2. VI of impedance cardiography had significant correlationship with ch.3 of EEG complexity(p=0.034) and ch.4 of EEG complexity(p=0.017). 3. HR, TFC, PEP, LVET, STR of impedance cardiography had no significant correlationship with all of 8 channel EEG complexity. Conclusions: These results suggest that nonlinear analysis of EEG and impedance cardiography have some significant correlationship. And it can make out relationship between brain system and cardiovascular system. In the future, therefore, more study of these fields are necessary.