Table of Contents Author Guidelines Submit a Manuscript
Computational and Mathematical Methods in Medicine
Volume 2014 (2014), Article ID 761712, 10 pages
http://dx.doi.org/10.1155/2014/761712
Research Article

Pressure Dynamic Characteristics of Pressure Controlled Ventilation System of a Lung Simulator

1School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China
2The State Key Laboratory of Fluid Power Transmission and Control, Zhejiang University, Hangzhou 310058, China
3Department of Mechanical Engineering, University of Bath, Bath BA2 7AY, UK

Received 1 July 2014; Accepted 22 July 2014; Published 13 August 2014

Academic Editor: Kiao Inthavong

Copyright © 2014 Yan Shi et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. F. T. Tehrani, “A control system for mechanical ventilation of passive and active subjects,” Computer Methods and Programs in Biomedicine, vol. 110, no. 3, pp. 511–518, 2013. View at Publisher · View at Google Scholar · View at Scopus
  2. S. P. Pilbeam and J. M. Cairo, Mechanical Ventilation, Physiological and Clinical Application, Mosby Elsevier, St. Louis, Mo, USA, 4th edition, 2006.
  3. R. L. Chatburn, “Classification of ventilator modes: update and proposal for implementation,” Respiratory Care, vol. 52, no. 3, pp. 301–323, 2007. View at Google Scholar · View at Scopus
  4. M. Tuǧrul, E. Çamci, H. Karadeniz, M. Şentürk, K. Pembeci, and K. Akpir, “Comparison of volume controlled with pressure controlled ventilation during one-lung anaesthesia,” British Journal of Anaesthesia, vol. 79, no. 3, pp. 306–310, 1997. View at Publisher · View at Google Scholar · View at Scopus
  5. M. M. James and G. J. Beilman, “Mechanical Ventilation,” Surgical Clinics of North America, vol. 92, no. 6, pp. 1463–1474, 2012. View at Publisher · View at Google Scholar · View at Scopus
  6. A. J. Garneroa, H. Abbonab, F. Gordo-Vidalc et al., “Pressure versus volume controlled modes in invasive mechanical ventilation,” Medicina Intensive, vol. 37, no. 4, pp. 292–298, 2013. View at Google Scholar
  7. V. Jounieaux and C. Andréjak, “Pressure-controlled ventilation and sleep in COPD patients in the intensive care unit: the role of tidal volume?” Respiratory Medicine, vol. 107, no. 10, pp. 1633–1634, 2013. View at Publisher · View at Google Scholar · View at Scopus
  8. C. Andréjak, J. Monconduit, D. Rose et al., “Does using pressure-controlled ventilation to rest respiratory muscles improve sleep in ICU patients?” Respiratory Medicine, vol. 107, no. 4, pp. 534–541, 2013. View at Publisher · View at Google Scholar · View at Scopus
  9. A. W. Thille, B. Cabello, F. Galia, A. Lyazidi, and L. Brochard, “Reduction of patient-ventilator asynchrony by reducing tidal volume during pressure-support ventilation,” Intensive Care Medicine, vol. 34, no. 8, pp. 1477–1486, 2008. View at Publisher · View at Google Scholar · View at Scopus
  10. B. Cabello, S. Parthasarathy, and J. Mancebo, “Mechanical ventilation: let us minimize sleep disturbances,” Current Opinion in Critical Care, vol. 13, no. 1, pp. 20–26, 2007. View at Publisher · View at Google Scholar · View at Scopus
  11. N. Jaimchariyatam, R. A. Dweik, R. Kaw, and L. S. Aboussouan, “Polysomnographic determinants of nocturnal hypercapnia in patients with sleep apnea,” Journal of Clinical Sleep Medicine, vol. 9, no. 3, pp. 209–215, 2013. View at Publisher · View at Google Scholar · View at Scopus
  12. Z. Karakurt, T. Yarkin, H. Altinöz et al., “Pressure vs. volume control in COPD patients intubated due to ARF: a case-control study,” Tüberküloz ve Toraks, vol. 57, no. 2, pp. 145–154, 2009. View at Google Scholar · View at Scopus
  13. M. Oǧurlu, M. Küçük, F. Bilgin et al., “Pressure-controlled vs volume-controlled ventilation during laparoscopic gynecologic surgery,” Journal of Minimally Invasive Gynecology, vol. 17, no. 3, pp. 295–300, 2010. View at Publisher · View at Google Scholar · View at Scopus
  14. E. M. Choi, S. Na, S. H. Choi, J. An, K. H. Rha, and Y. J. Oh, “Comparison of volume-controlled and pressure-controlled ventilation in steep Trendelenburg position for robot-assisted laparoscopic radical prostatectomy,” Journal of Clinical Anesthesia, vol. 23, no. 3, pp. 183–188, 2011. View at Publisher · View at Google Scholar · View at Scopus
  15. A. Nahum, “Use of pressure and flow waveforms to monitor mechanically ventilated patients,” in Yearbook of Intensive Care and Emergency Medicine, J. L. Vincent, Ed., pp. 89–115, Springer, Berlin, Germany, 1995. View at Google Scholar
  16. M. Prella, F. Feihl, and G. Domenighetti, “Effects of short-term pressure-controlled ventilation on gas exchange, airway pressures, and gas distribution in patients with acute lung injury/ARDS: comparison with volume-controlled ventilation,” Chest, vol. 122, no. 4, pp. 1382–1388, 2002. View at Publisher · View at Google Scholar · View at Scopus
  17. F. Zhao and Y. Chen, Mechanical Ventilation and Offline Strategy, Science and Technology Documentation Press, Beijing, China, 2013, (Chinese).
  18. J. Y. Kim, C. S. Shin, H. S. Kim, W. S. Jung, and H. J. Kwak, “Positive end-expiratory pressure in pressure-controlled ventilation improves ventilatory and oxygenation parameters during laparoscopic cholecystectomy,” Surgical Endoscopy, vol. 24, no. 5, pp. 1099–1103, 2010. View at Publisher · View at Google Scholar · View at Scopus
  19. A. W. McKibben and S. A. Ravenscraft, “Pressure-controlled and volume-cycled mechanical ventilation,” Clinics in Chest Medicine, vol. 17, no. 3, pp. 395–410, 1996. View at Publisher · View at Google Scholar · View at Scopus
  20. M. Duggan and B. P. Kavanagh, “Pulmonary atelectasis: a pathogenic perioperative entity,” Anesthesiology, vol. 102, no. 4, pp. 838–878, 2005. View at Publisher · View at Google Scholar · View at Scopus
  21. A. Rajagiri, B. Diong, M. Goldman, and H. Nazeran, “Can asthma in children be detected by the estimated parameter values of the augmented RIC model?” in Proceedings of the 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS '06), pp. 5595–5598, New York, NY, USA, September 2006. View at Publisher · View at Google Scholar · View at Scopus
  22. C. Ionescu, E. Derom, and R. de Keyser, “Assessment of respiratory mechanical properties with constant-phase models in healthy and COPD lungs,” Computer Methods and Programs in Biomedicine, vol. 97, no. 1, pp. 78–85, 2010. View at Publisher · View at Google Scholar · View at Scopus
  23. A. M. G. T. di Mango, A. J. Lopes, J. M. Jansen, and P. L. Melo, “Changes in respiratory mechanics with increasing degrees of airway obstruction in COPD: detection by forced oscillation technique,” Respiratory Medicine, vol. 100, no. 3, pp. 399–410, 2006. View at Publisher · View at Google Scholar · View at Scopus
  24. J. Chmielecki, J. Foo, G. R. Oxnard et al., “Optimization of dosing for EGFR-mutant non-small cell lung cancer with evolutionary cancer modeling,” Science Translational Medicine, vol. 3, no. 90, Article ID 90ra59, 2011. View at Google Scholar
  25. H. Koc, J. King, G. Teschl et al., “The role of mathematical modeling in VOC analysis using isoprene as a prototypic example,” Journal of Breath Research, vol. 5, no. 3, Article ID 037102, 2011. View at Publisher · View at Google Scholar
  26. K. J. Cios, H. Mamitsuka, T. Nagashima, and R. Tadeusiewicz, “Computational intelligence in solving bioinformatics problems,” Artificial Intelligence in Medicine, vol. 35, no. 1-2, pp. 1–8, 2005. View at Publisher · View at Google Scholar · View at Scopus
  27. J. Szaleniec, J. Składzień, R. Tadeusiewicz, K. Oleś, M. Konior, and R. Przeklasa, “How can an otolaryngologist benefit from artificial neural networks?” Otolaryngologia Polska, vol. 66, no. 4, pp. 241–248, 2012. View at Publisher · View at Google Scholar · View at Scopus
  28. R. Sturm, “A computer model for the simulation of fiber-cell interaction in the alveolar region of the respiratory tract,” Computers in Biology and Medicine, vol. 41, no. 7, pp. 565–573, 2011. View at Publisher · View at Google Scholar · View at Scopus
  29. J. Dolenšek, F. Runovc, and M. Kordaš, “Simulation of pulmonary ventilation and its control by negative feedback,” Computers in Biology and Medicine, vol. 35, no. 3, pp. 217–228, 2005. View at Publisher · View at Google Scholar · View at Scopus
  30. G. Avanzolini, P. Barbini, A. Cappello, G. Cevenini, and L. Chiari, “A new approach for tracking respiratory mechanical parameters in real-time,” Annals of Biomedical Engineering, vol. 25, no. 1, pp. 154–163, 1997. View at Publisher · View at Google Scholar · View at Scopus
  31. A. G. Polak and J. Mroczka, “Nonlinear model for mechanical ventilation of human lungs,” Computers in Biology and Medicine, vol. 36, no. 1, pp. 41–58, 2006. View at Publisher · View at Google Scholar · View at Scopus
  32. G. Redlarski and J. Jaworski, “A new approach to modeling of selected human respiratory system diseases, directed to computer simulations,” Computers in Biology and Medicine, vol. 43, no. 10, pp. 1606–1613, 2013. View at Publisher · View at Google Scholar · View at Scopus
  33. W. Tomalak, Wybrane aspekty badania mechaniki oddychania i modelowania systemu oddechowego przy użyciu techniki oscylacji wymuszonych [Sc.D. Dissertation], IGiCP.ZP, Rabka, Poland, 1998.
  34. J. G. Eyles and R. L. Pimmel, “Estimating respiratory mechanical parameters in parallel compartment models,” IEEE Transactions on Biomedical Engineering, vol. 28, no. 4, pp. 313–317, 1981. View at Google Scholar · View at Scopus
  35. B. Diong, M. D. Goldman, and H. Nazeran, “Respiratory impedance values in adults are relatively insensitive to mead model lung compliance and chest wall compliance parameters,” in Proceedings of the 26th Southern Biomedical Engineering Conference (SBEC '10), pp. 201–203, College Park, Md, USA, May 2010. View at Publisher · View at Google Scholar · View at Scopus
  36. M. P. Vassiliou, A. Amygdalou, C. J. Psarakis et al., “Volume and flow dependence of respiratory mechanics in mechanically ventilated COPD patients,” Respiratory Physiology & Neurobiology, vol. 135, no. 1, pp. 87–96, 2003. View at Publisher · View at Google Scholar · View at Scopus
  37. R. L. Chatburn, “Computer control of mechanical ventilation,” Respiratory Care, vol. 49, no. 5, pp. 507–517, 2004. View at Google Scholar · View at Scopus
  38. J. X. Brunner, “History and principles of closed-loop control applied to mechanical ventilation,” Nederlandse Vereniging voor Intensive Care, vol. 6, no. 4, pp. 6–9, 2002. View at Google Scholar
  39. M. Borrello, “Modeling and control of systems for critical care ventilation,” in Proceeding of the American Control Conference (ACC '05), pp. 2166–2180, Portland, Ore, USA, June 2005. View at Scopus
  40. Y. Shi and M. Cai, “Working characteristics of two kinds of air-driven boosters,” Energy Conversion and Management, vol. 52, no. 12, pp. 3399–3407, 2011. View at Publisher · View at Google Scholar · View at Scopus
  41. Z. Zhaoshun and C. Guixiang, Fluid Mechanics, Tsinghua University Press, Beijing, China, 2006.
  42. W. Yi, Research on the Key Technology of Ventilation Modes Based on Active Servo Lung, The National Defense Science and Technology University, 2009.
  43. SMC (China), Modern Practical Pneumatic Technology, vol. 3, China Machine Press, Beijing, China, 2008 (Chinese).
  44. C. Maolin, T. Funaki, K. Kawashima, and T. Kagawa, “Development of pneumatic power meter for energy saving,” in Proceedings of Symposium on Fluid Power System at Spring, Tokyo, Japan, 2003.
  45. M. Cai, K. Kawashima, and T. Kagawa, “Power assessment of flowing compressed air,” Journal of Fluids Engineering, Transactions of the ASME, vol. 128, no. 2, pp. 402–405, 2006. View at Publisher · View at Google Scholar · View at Scopus
  46. Wavelet Analysis and Application with the Software MATLAB 6.5, China Publishing House of Electronics Industry, 2003.