Biomedical Engineering Reference
In-Depth Information
24. Kemp B., Olivan J.: European data format 'plus'(EDF+), an EDF alike standard format for
the exchange of physiological data. Clinical Neurophysiology 114 (9): 1755-1761, 2003.
25. Kereiakes D.J.: Interpreting the COURAGE trial. PCI is no better than medical therapy for
stable angina? Seeing is not believing. Cleve. Clin. J. Med. 74 (9): 637-8, 640-2, 2007.
26. Kohl P.: Bollensdorff C.: Garny A.: Effects of mechanosensitive ion channels on ventricular
electrophysiology: experimental and theoretical models. Exp. Physiol. 91 (2): 307-321, 2006.
27. LeGrice I.J., Hunter P.J., Smaill B.H.: Laminar structure of the heart: a mathematical model.
Am. J. Physiol. 272 : H2466-H2476, 1997.
28. LeGrice I.J., Smaill B.H., Chai L.Z. et al.: Laminar structure of the heart: ventricular myocyte
arrangement and connective tissue architecture in the dog. Am. J. Physiol. 269 : H571-H582,
1995.
29. Livshitz L.M., Rudy Y.: Regulation of Ca 2 + and electrical alternans in cardiac myocytes: role
of CAMKII and repolarizing currents. AJP: Heart and Circulatory Physiology 292 : H2854-
H2866, 2007.
30. Lloyd C.M., Halstead M.D.B., Nielsen P.M.F.: CellML: its future, present and past. Prog.
Biophys. Mol. Biol. 85 : 433-450, 2004.
31. Lloyd C.M., Lawson J.R., Hunter P.J., Nielsen P.F.: The CellML Model Repository. Bio-
informatics 24 (18): 2122-2123, 2008.
32. Miller A.K., Marsh J., Reeve A., Garny A., Britten R., Halstead M., Cooper J., Nickerson D.P.,
Nielsen P.M.F.: An overview of the CellML API and its implementation. BMC Bioinformatics
11 : 178, 2010.
33. Moody G.B.: WFDB Applications Guide, 10th edition, physionet.org/physiotools/wag/
wag.htm, 2011.
34. Nash M.P., Hunter P.J.: Computational mechanics of the heart. J. Elasticity 61 (1-3): 113-141,
2001.
35. Nickerson D.P., Hunter P.J.: The Noble cardiac ventricular electrophysiology models in
CellML. Prog. Biophys. Molec. Biol. 90 : 346-359, 2006.
36. Nickerson D.P., Terkildsen J., Hamilton K.L., Hunter P.J.: A tool for multi-scale modelling
of the renal nephron. Interface Focus 1 : 417-425, 2011.
37. Niederer S.A., Hunter P.J., Smith N.P.: A quantitative analysis of cardiac myocyte relaxation:
a simulation study. Biophys. J. 90 (5): 1697-722, 2006.
38. Nordsletten D.A., Hunter P.J., Smith N.P.: Conservative arbitrary lagrangian-eulerian forms
for boundary driven and ventricular flows. Int. J. Num. Meth. Fluids 56 (8): 1457-1463, 2007.
39. Nørager S., Iakovidis I., Cabrera M., Ozcivelek R. (eds.): Towards virtual physiological hu-
man: multilevel modelling and simulation of the human anatomy and physiology - White
Paper Edited by DG INFSO & DG JRC, Nov 2005. http://ec.europa.eu/information society/
activities/health/docs/events/barcelona2005/ec-vph-white-paper2005nov.pdf.
40. Pandit S.V., Clark R.B., Giles W.R. et al.: A mathematical model of action potential hetero-
geneity in adult rat left ventricular myocytes. Biophys. J. 81 (6): 3029-3051, 2001.
41. Saucerman J.J., McCulloch A.D.: Mechanistic systems models of cell signalling networks:
a case study of myocyte adrenergic regulation. Prog. Biophys. and Mol. Biol. 11 : 369-391,
2000.
42. Saucerman J.J., Brunton L.L., Michailova A.P., McCulloch A.D.: Modeling beta-adrenergic
control of cardiac myocyte contractility in silico. Journal of Biological Chemistry 48 : 47997-
48003, 2003.
43. Savio-Galimberti E., Frank J., Inoue M., Goldhaber J.I., Cannell M.B., Bridge J.H., Sachse
F.B.: Novel features of the rabbit transverse tubular system revealed by quantitative analysis
of three-dimensional reconstructions from confocal images. Biophys. J. 95 (4): 2053-2062,
2008.
44. Schl ogl A.: Dataformats supported by BioSig biosig.sf.net, pub.ist.ac.at/?schloegl/biosig/
TESTED 2008.
45. Schl ogl A.: An overview on data formats for biomedical signals. In Image Processing,
Biosignal Processing, Modelling and Simulation, Biomechanics, ser. IFMBE Proceedings,
Search WWH ::




Custom Search