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Related Experiment Videos

Bileaflet mechanical valve sound analysis using a continuous wavelet transform.

Hiroshi Sugiki1, Norihiko Shiiya, Toshifumi Murashita

  • 1Department of Cardiovascular Surgery, Postgraduate School of Hokkaido University School of Medicine, North-14, West-4, Kita-ku, Sapporo, 060-8648, Japan. hsugiki@cvc-ohno.or.jp

Journal of Artificial Organs : the Official Journal of the Japanese Society for Artificial Organs
|April 15, 2006
PubMed
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Detecting the disappearance of split intervals in bileaflet mechanical valve sounds using continuous wavelet transform (CWT) may identify valve malfunction. This advanced signal analysis offers a new diagnostic approach for mechanical heart valves.

Area of Science:

  • Biomedical Engineering
  • Acoustic Signal Processing
  • Cardiovascular Devices

Background:

  • Bileaflet mechanical heart valves produce distinct closing sounds with split intervals.
  • The impact of valve malfunction on these split intervals and the necessity of time-frequency analysis for nonstationary sound signals remain underexplored.

Purpose of the Study:

  • To investigate the influence of valve malfunction on the split interval duration of bileaflet mechanical valve sounds.
  • To establish a reliable time-frequency analysis method for evaluating these sounds and detecting potential malfunctions.

Main Methods:

  • Utilized continuous wavelet transform (CWT) for time-frequency analysis of mechanical valve closing sounds.
  • Compared various mother wavelets within CWT, selecting Ishikawa's modified Morlet CWT for optimal resolution.

Related Experiment Videos

  • Developed a standardized frequency analysis system for bileaflet mechanical valve sounds.

    • Main Results:

    • Identified clear, very short split intervals at high frequencies in normal bileaflet mechanical valve sounds (SJM, ATS, CM valves).
    • Demonstrated that Ishikawa's modified Morlet CWT offers superior time and frequency resolution for analyzing these acoustic signals.
    • The disappearance of the split interval was observed as a potential indicator of valve malfunction.

    Conclusions:

    • Continuous wavelet transform, specifically using Ishikawa's modified Morlet CWT, provides a robust method for analyzing bileaflet mechanical valve sounds.
    • The detection of absent split intervals in these sounds may serve as a crucial, non-invasive diagnostic marker for mechanical valve malfunction in clinical settings.