• 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