Definitions
Physics based – the use of physical principles such as the laws of conservation of mass and conservation of energy.
Computational physiology – the use of computer models containing equations that represent physiological processes and the solution of these equations with numerical methods designed for digital computers (such as the finite element methods discussed in this entry).
Multiscale modeling – the use of mathematical models that incorporate physical processes operating at more than one spatial scale (e.g., at the level of cells as well as a whole organ).
Standards-based computational frameworks – this refers to the use of community-agreed standards for the encoding of models to help ensure that they are reproducible and reusable.
Introduction
Anatomy and physiology are the disciplines that underpin the practice of medicine. Discoveries from molecular biology, including the sequencing of the human genome in 2000 (https://en.wikipedia.org/wiki/Human_genome), are...
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References
Breedveld PC (1984) Physical systems theory in terms of bond graphs. PhD thesis University of Twente
Chen Z, Niederer SA, Shanmugam N, Sermesant M, Rinaldi CA (2017) Cardiac computational modeling of ventricular tachycardia and cardiac resynchronization therapy: a clinical perspective. Minerva Cardioangiol 65(4):380–397
Du P, Paskaranandavadivel N, Angeli TR, Cheng LK, O’Grady G (2016) The virtual intestine: in silico modeling of small intestinal electrophysiology and motility and the applications. Wiley Interdiscip Rev Syst Biol Med 8(1):69–85
Du P, O’Grady G, Cheng LK (2017) A theoretical analysis of anatomical and functional intestinal slow wave re-entry. J Theor Biol 21(425):72–79
Fernandez JW, Pandy MG (2006) Integrating modelling and experiments to assess dynamic musculoskeletal function in humans. Exp Physiol 91(2):371–382
Fernandez JW, Mithraratne P, Thrupp SF, Tawhai MH, Hunter PJ (2004) Anatomically based geometric modelling of the musculo-skeletal system and other organs. Biomech Model Mechanobiol 2(3):139–155
Gawthrop PJ, Crampin EJ (2014) Energy based analysis of biochemical cycles using bond graphs. Proc R Soc A 470(2171):20140459. https://doi.org/10.1098/rspa.2014.0459
Gawthrop PJ, Crampin EJ (2016) Modular bond-graph modelling and analysis of biomolecular systems. IET Syst Biol. https://doi.org/10.1049/iet-syb.2015.0083
Gawthrop PJ, Cursons J, Crampin EJ (2015) Hierarchical bond graph modelling of biochemical networks. Proc R Soc A 471(2184):20150642. https://doi.org/10.1098/rspa.2015.0642
Hooks DA, Tomlinson KA, Marsden SG, Le Grice IJ, Smaill BH, Pullan AJ, Hunter PJ (2002) Cardiac microstructure: implications for electrical propagation and defibrillation in the heart. Circ Res 91(4):331–338
Hunter PJ, Borg TK (2003) Integration from proteins to organs: the Physiome project. Nat Rev Mol Cell Biol 4(3):237–243
Hunter PJ, Smaill BH (1989) The analysis of cardiac function: a continuum approach. Prog Biophys Mol Biol 52:101–164
Hunter PJ, Pullan AJ, Smaill BH (2003) Modeling total heart function. Annu Rev Biomed Eng 5:147–177
Karnopp DC, Margolis DL, Rosenberg RC (2012) System dynamics, 5th edn. Wiley
Lee J, Cookson A, Roy I, Kerfoot E, Asner L, Vigueras G, Sochi T, Michler C, Smith N, Nordsletten D (2016) CHeart: Multiphysics computational modelling in CHeart. SIAM J Sci Comput 38:C150–C178
LeGrice IJ, Smaill BH, Chai LZ, Edgar SG, Gavin JB, Hunter PJ (1995) Laminar structure of the heart: ventricular myocyte arrangement and connective tissue architecture in the dog. Am J Phys 269:H571–H582
LeGrice IJ, Hunter PJ, Smaill BH (1997) Laminar structure of the heart: a mathematical model. Am J Phys 272:H2466–H2476
Lin CL, Tawhai MH, Hoffman EA (2013) Multiscale image-based modeling and simulation of gas flow and particle transport in the human lungs. WIREs Syst Biol Med 5(5):643–655
Nash MP, Hunter PJ (2001) Computational mechanics of the heart. J Elast 61(1–3):113–141
Neic A, Campos FO, Prassl AJ, Niederer SA, Bishop MJ, Vigmond EJ, Plank G (2017) Efficient computation of electrograms and ECGs in human whole heart simulations using a reaction-eikonal model. J Comp Phy 346:191–211
Nickerson DP, Hunter PJ (2006) The Noble cardiac ventricular electrophysiology models in CellML. Prog Biophys Molec Biol 90:346–359
Nielsen PMF, Hunter PJ, Smaill BH (1991) Biaxial testing of membrane biomaterials: testing equipment and procedures. ASME J Biomech Eng 113(3):295–300
Oster G, Perelson A, Katchalsky A (1971) Network thermodynamics. Nature (Lond) 234:393
Paynter H (1961) Analysis and Design of Engineering Systems. MIT, Cambridge
Tawhai MH, Bates JH (2011) Multi-scale lung modeling. J Appl Physiol 110(5):1466–1472
Wang VY, Hussan JR, Yousefi H, Bradley CP, Hunter PJ, Nash MP (2017) Modelling cardiac tissue growth and remodelling. J Elast 129(1–2):283–305
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Hunter, P. (2018). A Modeling Framework for Computational Physiology. In: Altenbach, H., Öchsner, A. (eds) Encyclopedia of Continuum Mechanics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-53605-6_29-1
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DOI: https://doi.org/10.1007/978-3-662-53605-6_29-1
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A Modeling Framework for Computational Physiology- Published:
- 11 October 2019
DOI: https://doi.org/10.1007/978-3-662-53605-6_29-2
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A Modeling Framework for Computational Physiology- Published:
- 29 September 2018
DOI: https://doi.org/10.1007/978-3-662-53605-6_29-1