Open Access
J Extra Corpor Technol
Volume 41, Number 4, December 2009
Page(s) 206 - 212
Published online 15 July 2009
  1. Ninomiya S, Tokumine A, Yasuda T, Tomizawa Y. Development of an educational simulator system, ECCSIM-Lite, for the acquisition of basic perfusion techniques and evaluation. J Artif Organs. 2007;10:201–5. [CrossRef] [PubMed] [Google Scholar]
  2. Tokumine A, Ninomiya S, Anno M, et al. Educational simulator “ECCSIM-Lite” used at the JaSECT seminar with analysis of questionnaire survey results Jpn J of Extracorporeal Technology. 2008;35:343–7 (in Japanese). [CrossRef] [Google Scholar]
  3. Tokaji M, Ninomiya S, Tokumine A, Kurosaki T. Study of the hemodynamics parameter estimation procedure of the educational perfusion simulator based on basic patient conditions. Jpn J Extracorporeal Technology. 2009;36:24–7 (in Japanese). [Google Scholar]
  4. Ninomiya S, Tokumine A, Tokaji M, Kurosaki T. The extracorporeal circulation simulator System: ECCSIM and ECCSIM-Lite. CIRCULATION Up-to-Date. 2009;4:22–32 (in Japanese). [Google Scholar]
  5. Ferrari G, Kozarski M, De Lazzari C, et al. Modelling of cardiovascular system: Development of a hybrid (numerical-physical) model. Int J Artif Organs. 2003;26:1104–14. [CrossRef] [PubMed] [Google Scholar]
  6. Timms D, Hayne M, McNeil K, Galbraith A. A complete mock circulation loop for the evaluation of left, right, and biventricular assist devices. Artif Organs. 2005;29:564–72. [CrossRef] [PubMed] [Google Scholar]
  7. Cevenini G, Barbini P, Cappello A, Avanzolini G. Three-element model for total systemic circulation: Emphasis on the accuracy of parameter estimates. J Biomed Eng. 1987;9:374–8. [CrossRef] [Google Scholar]
  8. Ferrari G, De Lazzari C, Mimmo R, Tosti G, Ambrosi D. A modular numerical model of the cardiovascular system for studying and training in the field of cardiovascular physiopathology. J Biomed Eng. 1992;14:91–107. [CrossRef] [Google Scholar]
  9. Cavalcanti S, Di Marco LY. Numerical simulation of the hemodynamic response to hemodialysis-induced hypovolemia. Artif Organs. 1999;23:1063–73. [CrossRef] [PubMed] [Google Scholar]
  10. Shoukas AA, Sagawa K. Total systemic vascular compliance measured as incremental volume-pressure ratio. Circ Res. 1971;28:277–89. [CrossRef] [PubMed] [Google Scholar]
  11. Martin L. All You Really Need to Know to Interpret Arterial Blood Gases 2/E. Philadelphia: Lippincott Williams & Wilkins Inc; 1999:42–7. [Google Scholar]
  12. Goodwin JA, van Meurs WL, Sa Couto CD, Beneken JE, Graves SA. A model for educational simulation of infant cardiovascular physiology. Anesth Analg. 2004;99:1655–64. [CrossRef] [PubMed] [Google Scholar]
  13. Botden SM, Buzink SN, Schijven MP, Jakimowicz JJ. Augmented versus virtual reality laparoscopic simulation: What is the difference? A comparison of the ProMIS augmented reality laparoscopic simulator versus LapSim virtual reality laparoscopic simulator. World J Surg. 2007;31:764–72. [CrossRef] [PubMed] [Google Scholar]
  14. Higton P. Safety lessons from aviation. Perfusion. 2005;20:191–3. [CrossRef] [PubMed] [Google Scholar]
  15. Cumin D, Merry AF. Simulators for use in anaesthesia. Anaesthesia. 2007;62:151–62. [CrossRef] [PubMed] [Google Scholar]
  16. Morris RW, Pybus DA. “Orpheus” cardiopulmonary bypass simulation system. J Extra Corpor Technol. 2007;39:228–33. [CrossRef] [EDP Sciences] [PubMed] [Google Scholar]
  17. Turkmen A, Rosinski D, Noyes N. A simulator for perfusion training. Perfusion. 2007;22:397–400. [CrossRef] [PubMed] [Google Scholar]
  18. Bauernschmitt R, Naujokat E, Mehmanesh H, et al. Mathematical modelling of extracorporeal circulation: Simulation of different per-fusion regimens. Perfusion. 1999;14:321–30. [CrossRef] [PubMed] [Google Scholar]
  19. Tomizawa Y. Trouble simulation course for extracorporeal circulation: Experiences from wet lab. Jpn J Artif Organs. 2006;35:223–6. [Google Scholar]
  20. Seropian MA. General concepts in full scale simulation: Getting started. Anesth Analg. 2003;97:1695–705. [CrossRef] [PubMed] [Google Scholar]

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