Skip to main content
SpringerLink
Log in

Adaptive Model of Cardiovascular System: Realization and Signal Database

  • Conference paper
Information Technology in Bio- and Medical Informatics (ITBAM 2013)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8060))

  • 671 Accesses

Abstract

The paper deals with a study of relationship between hemodynamic parameters and other various vital signs based on the modelling of hemodynamic parameters. The design of an adaptive mechanical model of cardiovascular system is presented in the paper. The connection between the modelling of cardiovascular system and smart homes and ambient assisted living applications is also discussed.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 54.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 72.00
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Batzel, J.: Cardiovascular and respiratory systems: modeling, analysis, and control. Society for Industrial and Applied Mathematics, Philadelphia (2007)

    Book  Google Scholar 

  2. Cobelli, C., Carson, E.: Introduction to modeling in physiology and medicine. Academic Press (2008)

    Google Scholar 

  3. Darowski, M., Ferrari, G.: Comprehensive models of cardiovascular and respiratory systems: their mechanical support and interactions. Nova Science, New York (2010)

    Google Scholar 

  4. Westerhof, N., Stergiopulos, N., Noble, M.I.M.: Snapshots of hemodynamics. Basic Science for the Cardiologist (18), 121–126 (2005)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Circuit Theory, Faculty of Electrical Engineering, Czech Technical University in Prague, Technická 6, CZ-16627, Prague 6, Czech Republic

    Jan Havlík, Miroslav Ložek, Matouš Pokorný & Jakub Parák

  2. Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University in Prague, Technická 6, CZ-16627, Prague 6, Czech Republic

    Petr Huňka & Lenka Lhotská

Authors
  1. Jan Havlík
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Miroslav Ložek
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Matouš Pokorný
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Jakub Parák
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Petr Huňka
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Lenka Lhotská
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Faculty of Electrical Engineering, Department of Cybernetics, Czech Technical University in Prague, Technicka 2, 166 27, Prague 6, Czech Republic

    Miroslav Bursa

  2. Department of Computer Science, San Jose State University, One Washington Square, 95192-0249, San Jose, CA, USA

    Sami Khuri

  3. Istituto di Informatica e Telematica del CNR, Via G. Moruzzi 1, 56124, Pisa, Italy

    M. Elena Renda

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Havlík, J., Ložek, M., Pokorný, M., Parák, J., Huňka, P., Lhotská, L. (2013). Adaptive Model of Cardiovascular System: Realization and Signal Database. In: Bursa, M., Khuri, S., Renda, M.E. (eds) Information Technology in Bio- and Medical Informatics. ITBAM 2013. Lecture Notes in Computer Science, vol 8060. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40093-3_11

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-40093-3_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40092-6

  • Online ISBN: 978-3-642-40093-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation