DocumentCode
145172
Title
Assessment of linear and non-linear coupling effect on cardiovascular subsystems in stroke
Author
Ben-Yi Liau ; Liao, Ken Ying-Kai
Author_Institution
Dept. of Biomed. Eng., Hungkuang Univ., Taichung, Taiwan
Volume
1
fYear
2014
fDate
26-28 April 2014
Firstpage
318
Lastpage
321
Abstract
Stroke is a deadly condition. It is a leading cause of death in the world. Even with today´s technologies, stroke detection and prevention is still a difficult and inaccurate task. In order to improve stroke detection, more knowledge about the physiological systems that stroke affects must be better understood. Much has been done in past studies already on how stroke affects each subsystem, such as blood pressure, cerebral blood flow, and heart rate. However, not much is known about the independence and relations between the cardiovascular subsystems and other physiological mechanisms. The purpose of this study is to approach this problem by using the nonlinear coupling analysis technique to study the independence of blood pressure, cerebral blood flow, and heart rate based on chaotic measures, in order to determine the relationships between these parameters. The linear coupling relation between heart rate and blood pressure is analyzed in time and frequency domain for evaluating baroreflex. 10 healthy controls and 10 stroke outpatients were enrolled in this study. The result indicates that stroke outpatients have a less independent chaoticness of the three subsystems. Cardiac-baroreceptor sensitivity (B RS) decreased significantly in stroke patients (p<;0.05).
Keywords
blood flow measurement; blood pressure measurement; brain; cardiovascular system; chaos; frequency-domain analysis; linear systems; medical disorders; neurophysiology; nonlinear dynamical systems; time-domain analysis; baroreflex evaluation; blood pressure; cardiac-baroreceptor sensitivity; cardiovascular subsystem independence; cardiovascular subsystem relations; cardiovascular subsystems; cerebral blood flow; chaotic measures; chaoticness independence; frequency domain analysis; heart rate; linear coupling relation; nonlinear coupling analysis; nonlinear coupling effect assessment; physiological mechanisms; physiological systems; stroke detection; stroke effects; stroke prevention; time domain analysis; Baroreflex; Blood flow; Complexity theory; Couplings; Heart rate; Sensitivity; Stroke; baroreflex; chaotic; coupling;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science, Electronics and Electrical Engineering (ISEEE), 2014 International Conference on
Conference_Location
Sapporo
Print_ISBN
978-1-4799-3196-5
Type
conf
DOI
10.1109/InfoSEEE.2014.6948123
Filename
6948123
Link To Document