DocumentCode :
2394202
Title :
Estimation of central aortic forces in the ballistocardiogram under rest and exercise conditions
Author :
Wiard, Richard M. ; Kim, Hyun Jin ; Figueroa, C. Alberto ; Kovacs, Gregory T A ; Taylor, Charles A. ; Giovangrandi, Laurent
Author_Institution :
Bioeng. Dept., Stanford Univ., Stanford, CA, USA
fYear :
2009
fDate :
3-6 Sept. 2009
Firstpage :
2831
Lastpage :
2834
Abstract :
The ballistocardiogram (BCG) signal represents the movements of the body in response to cardiac ejection of blood. The BCG signal can change considerably under various physiological states; however, little information exists in literature describing how these forces are generated. A physical analysis is presented using a finite element model of thoracic aortic vasculature to quantify forces generated by the blood flow during the cardiac cycle. The traction at the fluid-solid interface of this deformable wall model generates a central aortic force (CAF) which appears of similar magnitude to recorded BCG forces. The increased pulse pressure in an exercise simulation caused a significant increase in CAF, which is consistent with recent BCG measurements in exercise recovery.
Keywords :
biomechanics; cardiovascular system; computational fluid dynamics; finite element analysis; force; haemodynamics; ballistocardiogram; blood; blood flow; cardiac ejection; central aortic force; exercise; finite element model; fluid-solid interface; thoracic aortic vasculature; Cardiovascular monitoring; computational modeling; hemodynamics; non-invasive diagnostics; Animals; Anisotropy; Aorta; Ballistocardiography; Biomedical Engineering; Carotid Arteries; Computer Simulation; Elasticity; Electrochemistry; Equipment Design; Models, Theoretical; Physical Conditioning, Animal; Rest; Stress, Mechanical; Swine;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
Conference_Location :
Minneapolis, MN
ISSN :
1557-170X
Print_ISBN :
978-1-4244-3296-7
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2009.5333577
Filename :
5333577
Link To Document :
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