Skip to main content

Advertisement

Log in

An optimal control approach for blood pressure regulation during head-up tilt

  • Original Article
  • Published:
Biological Cybernetics Aims and scope Submit manuscript

Abstract

This paper presents an optimal control approach to modeling effects of cardiovascular regulation during head-up tilt (HUT). Many patients who suffer from dizziness or light-headedness are administered a head-up tilt test to explore potential deficits within the autonomic control system, which maintains the cardiovascular system at homeostasis. This system is complex and difficult to study in vivo, and thus we propose to use mathematical modeling to achieve a better understanding of cardiovascular regulation during HUT. In particular, we show the feasibility of using optimal control theory to compute physiological control variables, vascular resistance and cardiac contractility, quantities that cannot be measured directly, but which are useful to assess the state of the cardiovascular system. A non-pulsatile lumped parameter model together with pseudo- and clinical data are utilized in the optimal control problem formulation. Results show that the optimal control approach can predict time-varying quantities regulated by the cardiovascular control system. Our results compare favorable to our previous study using a piecewise linear spline approach, less a priori knowledge is needed, and results were obtained at a significantly lower computational cost.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

  • Batzel JJ, Kappel F, Timischl-Teschl S (2005) A cardiovascular-respiratory control system model including state delay with application to congestive heart failure in humans. J Math Biol 50:293–335

    Article  PubMed  Google Scholar 

  • Batzel JJ, Kappel F, Schneditz D, Tran HT (2007) Cardiovascular and respiratory systems: modeling, analysis, and control. SIAM, Philadelphia

    Book  Google Scholar 

  • Betts JT (1998) Survey of numerical methods for trajectory optimization. J Guid Control Dyn 21:93–207

    Article  Google Scholar 

  • Burton AC (1972) Physiology and biophysics of the circulation, 2nd edn. Year Book Medical Publishers, Chicago

    Google Scholar 

  • David JA (2007) Optimal control, estimation, and shape design: analysis and applications. PhD Dissertation, NC State University, Raleigh, NC

  • De Pillis LG, Radunskaya A (2003) The dynamics of an optimally controlled tumor model: a case study. Math Comput Model 37:1221–1244

    Article  Google Scholar 

  • Grodins FS (1959) Integrative cardiovascular physiology: a mathematical synthesis of cardiac and blood vessel hemodynamics. Q Rev Biol 34:93–116

    Article  CAS  PubMed  Google Scholar 

  • Ellwein LM (2008) Cardiovascular and respiratory modeling. PhD Thesis, NC State University, Raleigh, NC

  • Engelsone A (2006) Direct transcription methods in optimal control: theory and practice. PhD Dissertation, NC State University, Raleigh, NC

  • Fink M, Batzel JJ, Kappel F (2004) An optimal control approach to modeling the cardiovascular-respiratory system: an application to orthostatic stress. Cardiovasc Eng 4:27–38

    Article  Google Scholar 

  • Lanier JB, Mote MB, Clay EC (2011) Evaluation and management of orthostatic hypotension. Am Fam Phys 84:527–536

    Google Scholar 

  • Levick JR (2010) An introduction to cardiovascular physiology, 5th edn. Hodder Arnold Publishers, London

    Google Scholar 

  • Matzuka B, Mehlsen J, Tran HT, Olufsen MS (2015) Using Kalman filtering to predict time-varying parameters in a model predicting baroreflex regulation during head-up tilt. IEEE Trans Biomed Eng 62:1992–2000

    Article  PubMed  Google Scholar 

  • Miller TH, Kruse JE (2005) Evaluation of syncope. Am Fam Phys 72:1492–1500

    Google Scholar 

  • Murray W, Gill PE, Saunders MA (2002) SNOPT: an SQP algorithm for large-scale constrained optimization. SIAM J Optim 12:979–1006

    Article  Google Scholar 

  • Mutsaers M, Bachar M, Batzel JJ, Kappel F, Volkwein S (2007) Receding horizon controller for the baroreceptor loop in a model for the cardiovascular system. Cardiovasc Eng 206:14–22

    Google Scholar 

  • Nagaiah C, Kunisch K, Plank G (2013) Optimal control approach to termination of re-entry waves in cardiac electrophysiology. J Math Biol 67:359–388

    Article  PubMed  Google Scholar 

  • Neilan RM, Lenhart S (2010) An Introduction to optimal control with an application in disease modeling. DIMACS Ser Discret Math Theor Comput Sci 75:67–81

    Article  Google Scholar 

  • Parklikar TA, Heldt T, Ranade GV, Verghese GC (2007) Model-based estimation of cardiac output and total peripheral resistance. Comput Cardiol 34:379–382

    Google Scholar 

  • Rao AV, Benson DA, Darby CL, Patterson MA, Francolin C, Sanders I, Huntington GT (2010) Algorithm 902: GPOPS, a MATLAB software for solving multiple-phase optimal control problems using the gauss pseudo-spectral method. ASM Trans Math Softw 22:1–39

    Google Scholar 

  • Rao AV, Benson DA, Huntington GT (2011) User’s manual for GPOPS version 5.0 : a MATLAB software for solving multiple-phase optimal control problems using hp-adaptive pseuodpectral methods. http://www.gpops.org

  • Robertson DW, Low PA, Polinsky RJ (2004) Primer on the autonomic nervous system, 2nd edn. Academic Press, San Diego

    Google Scholar 

  • Kappel F, Fink M, Batzel JJ (2007) Aspects of control of the cardiovascular-respiratory system during orthostatic stress induced by lower body negative pressure. Math Biosci 206:273–308

    Article  PubMed  Google Scholar 

  • Rowell LB (2004) Ideas about control of skeletal and cardiac muscle blood flow (1876–2003): cycles of revision and new vision. J Appl Physiol 97:384–392

    Article  PubMed  Google Scholar 

  • Saunders MA, Gill PE, Murray W, Wright MH (1986) User’s guide for NPSOL (version 4.0): a FORTRAN package for nonlinear programming. Tech Rep Dept Oper Res, Stanford University

  • Shoucri RM (1991) Pump function of the heart as an optimal control problem. J Biomed Eng 13:384–390

    Article  CAS  PubMed  Google Scholar 

  • Smith JJ, Kampine JP (1990) Circulatory physiology-the essential. The Williams & Wilkins Company, Baltimore

    Google Scholar 

  • Stryk O, von and Burlirsch R (1992) Direct and indirect methods for trajectory optimization. Ann Oper Res 37:357–373

    Article  Google Scholar 

  • Wesseling KH, Jansen JRC, Settels JJ, Screuder JJ (1993) Computation of aortic flow from pressure in humans using a nonlinear three-element model. J Appl Physiol 74:2566–2573

    Article  CAS  PubMed  Google Scholar 

  • Williams ND, Tran HT,Olufsen MS (2013) Cardiovascular dynamics during head-up tilt assessed via a pulsatile and non-pulsatile model. Proc 3rd Int conf on simulation and modeling methodologies, technologies and applications, SciTePress, Sci Technol Pub

  • Williams ND, Wind-Willassen O, Mehlsen J, Ottesen JT, Olufsen MS (2014) REU-Program. Math Med Biol 31:365–392

    Article  PubMed  Google Scholar 

  • Zaidi A, Benitez D, Gaydecki PA, Vohra A, Fitzpatrick AP (2000) Haemodynamic effects of increasing angle of head up tilt. Heart 83:181–184

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Zarei H, Kamyad AV, Effati S (2010) Multiobjective optimal control of HIV dynamics. Math Prob Eng 568315:29. https://doi.org/10.1155/2010/568315

  • Zhang J, Critchley LAH, Lee DCW, Shaw KS, Lee SWY (2016) The effect of head up tilting on bioreactance cardiac output and stroke volume readings using suprasternal transcutaneous Doppler as a control in healthy young adults. J Clin Monit Comput 30:519–526

    Article  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mette S. Olufsen.

Ethics declarations

Funding

Williams and Olufsen were supported in part by the virtual rat physiology project under grant NIH-NIGMS #1P50GM094503. Tran and Olufsen were supported by NSF under the grant NSF/DMS #1022688. Tran was also supported in part by NIAID under grant NIAID 9R01AI071915. Williams was also supported form the Department of Mathematical Sciences of the United States Military Academy at West Point. This research was performed while Williams held an NRC Research Associateship award at the Army Research Lab.

Conflict of interest

The authors declare that they have no conflicts of interest.

Ethical approval

All applicable international, national, and/or institutional guidelines for the care and use of animals were followed. All procedures performed in studies involving animals were in accordance with the ethical standards of the institution at which the studies were conducted.

Data

The datasets generated during and/or analyzed during the current study are available on request from the corresponding author.

Additional information

Communicated by Pablo A. Iglesias.

This article belongs to the Special Issue on Control Theory in Biology and Medicine. It derived from a workshop at the Mathematical Biosciences Institute, Ohio State University, Columbus, OH, USA.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Williams, N.D., Mehlsen, J., Tran, H.T. et al. An optimal control approach for blood pressure regulation during head-up tilt. Biol Cybern 113, 149–159 (2019). https://doi.org/10.1007/s00422-018-0783-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00422-018-0783-9

Keywords

Navigation