Preliminary Investigations Regarding the Blood Volume Estimation in Pneumatically Controlled Ventricular Assist Device by Pattern Recognition

  • D. Komorowski
  • M. Gawlikowski
Part of the Advances in Soft Computing book series (AINSC, volume 45)


Mechanical heart supporting is one of possible therapies in case of circulatory system insufficiency. It is realized by application of various types of Ventricular Assist Devices (VAD). For monitoring, optimizing and automatic control of heart supporting process it is necessary to measure blood volume pumped through the VAD during single cycle. The paper presents a novel approach to the problem of reliable VAD’s output estimation by the use of membrane’s shape pattern recognition and related blood’s chamber volume determination. Among many possibilities, the application of pattern recognition system has been decided leading to the promising results and making possible implementation of the automatic control algorithm in the future for the whole measurement process.


Ventricular Assist Device Coordinate Region Color Marker Pattern Recognition System Blood Volume Estimation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Red Religa Z (1993) An outline of cardio-surgery. PZWL, Warsaw,(in Polish)Google Scholar
  2. 2.
    Internet: Scholar
  3. 3.
    Religa Z, Kustosz R (2002) Mechanical heart supporting. Coronary vessels surgery. PZWL, Warsaw, str. 158–166. (in Polish)Google Scholar
  4. 4.
    Li J (2004) Dynamics of the vascular system. World Scientific Publishing. SingaporeGoogle Scholar
  5. 5.
    Guyton A C (1991) Textbook of Medical Physiology. SAUNDERS Co., PhiladelphiaGoogle Scholar
  6. 6.
    Gawlikowski M, Pustelny T, Kustosz R (2006) Non invasive blood volume measurement in pneumatic ventricular assist device POLVAD. Molecular and Quantum Acoustics Vol. 27, p. 97–106Google Scholar
  7. 7.
    Gawlikowski M, et al (2006) Preliminary investigations regarding the possibility of acoustic resonant application for blood volume measurement in pneumatic ventricular assist device Molecular and Quantum Acoustic, Vol. 27, p. 89–96Google Scholar
  8. 8.
    Komorowski D, Tkacz E, Kustosz R (2002) An Application of the Neural Network for Output Flow Estimation in the Pneumatically Driven Polish Ventricular Assist Device (POLVAD) 29th ESAO Congress European Society for Artificial Organs, Viena, Austria, The International Journal of artificial Organs, vol. 20, no. 10Google Scholar
  9. 9.
    Komorowski D, Tkacz E, (2005) Output Flow Estimation of Pneumatically Controlled Ventricular Assist Device with the Help of Artificial Neural Network’, Computer Recognition System, Proceedings of the 4th International Conference on Computer Recognition Systems CORES’05, p. 561–568, ISSN 1434–9222, Springer-Verlag Berlin HaidelbergGoogle Scholar
  10. 10.
    Komorowski D, Pietraszek S, Darlak M (2006) Pressure and Output Flow Estimation of Pneumatically Controlled Ventricular Assist Device (VAD) with the help of Both Acceleration and Gyro Sensors, World Congress on Medical Physics and Biomedical Engineering, Seoul, Korea, Issue on CDGoogle Scholar
  11. 11.
    Soille P (1999), Morphological Image Analysis:Principles and Applications, Springer-Verlag, pp. 173–174Google Scholar
  12. 12.
    Matlab (2006), Image Processing Toolbox ManualGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • D. Komorowski
    • 1
    • 2
  • M. Gawlikowski
    • 2
  1. 1.Institute of Electronics, Division of Microelectronics and BiotechnologySilesian University of TechnologyGliwicePoland
  2. 2.Artificial Heart LaboratoryInstitute of the Heart ProsthesesZabrzePoland

Personalised recommendations