Real-time measurement system for acquiring murine left ventricular pressure-volume relations

Chia Ling Wei, Chung Dann Kan, Jieh Neng Wang, I. Wen Wang, Chieh En Chen, Chin Hong Chen, Mei Ling Tsai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Myocardial functions can be characterized from ventricular pressure-volume relations. In small animals, the instantaneous ventricular volume is typically measured by using a miniaturized conductance catheter. In this work, a DSP-based conductance catheter measurement system is proposed, which adopts the admittance measurement method to estimate the myocardial contribution, and Wei's nonlinear equation to convert the blood conductance to volume. In vivo rat experiments were performed with the proposed measurement system, and real-time left ventricular pressure-volume relations can be obtained.

Original languageEnglish
Title of host publication2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings
Pages625-628
Number of pages4
DOIs
Publication statusPublished - 2011 Aug 18
Event36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Prague, Czech Republic
Duration: 2011 May 222011 May 27

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149

Other

Other36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011
CountryCzech Republic
CityPrague
Period11-05-2211-05-27

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All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

Cite this

Wei, C. L., Kan, C. D., Wang, J. N., Wang, I. W., Chen, C. E., Chen, C. H., & Tsai, M. L. (2011). Real-time measurement system for acquiring murine left ventricular pressure-volume relations. In 2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings (pp. 625-628). [5946481] (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). https://doi.org/10.1109/ICASSP.2011.5946481