Introducing a distributed model of the heart

Ravanshadi, S ; Sharif University of Technology | 2012

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  1. Type of Document: Article
  2. DOI: 10.1109/BioRob.2012.6290921
  3. Publisher: 2012
  4. Abstract:
  5. Conventional models of cardiovascular system (CV) frequently lack required detail. Once utilized to study the heart function, these models focus primarily on the overall relationship between pressure, flow and volume. This study proposes a localized and regional model of the CV system. It utilizes non-invasive blood flow and pressure seed data and temporal cardiac muscle regional activation to predict the operation of the heart. Proposed localized analysis considers specific regions of the heart, namely base, mid and apex sections of the left ventricle. This modular system is based on a hydraulic electric analogy model, estimating desired parameters, namely resistance (R), compliance (C), and inertial (L) coefficients, from respective regional blood flow and pressure values. The proposed method of estimation for these parameters is the Recursive Least Square (RLS) algorithm. Results present meaningful and detailed information when compared to clinical findings. In particular, ejection fraction of 73 ± 5 %, systolic pressure of 102 ± 15 mmHg, and diastolic pressure of 65 ± 10 mmHg, are all within the acceptable range of normal cardiovascular operation. Proposed analytical method can in effect be utilized as a pre-clinical and predictive tool for high risk heart patients
  6. Keywords:
  7. Physiological modeling ; Analytical method ; Blood flow ; Cardiac muscles ; Conventional models ; CV System ; Diastolic pressure ; Distributed models ; Ejection fraction ; Heart function ; Heart patients ; Left ventricles ; Localized analysis ; Modular system ; Pre-clinical ; Predictive tools ; Pressure values ; Recursive least square (RLS) ; Recursive least square algorithms ; Regional model ; Systolic pressure ; Hemodynamics ; Least squares approximations ; Parameter estimation ; Physiological models ; Heart
  8. Source: Proceedings of the IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics, 24 June 2012 through 27 June 2012 ; June , 2012 , Pages 419-424 ; 21551774 (ISSN) ; 9781457711992 (ISBN)
  9. URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6290921