Related Experiment Video

Updated: May 11, 2026

Semi-automated Optical Heartbeat Analysis of Small Hearts
12:10

Semi-automated Optical Heartbeat Analysis of Small Hearts

Published on: September 16, 2009

Algorithm for detection of the internal components of the heart sounds and their split using a Hilbert transform

L Hamza Cherif1, S M Debbal

  • 1Genie-Biomedical Laboratory (GBM), Department of Genie Electric and Electronic, Faculty of Technology, University Aboubekr Belkaid Tlemcen, Algeria. amzacherif@yahoo.fr

Journal of Medical Engineering & Technology
|May 2, 2013
PubMed

Insights

Diagnosing valvular heart disease is challenging. The Hilbert envelope of heart sounds offers a novel method for analyzing heart sound components, improving diagnosis in ambulatory settings.

Area of Science:

  • Cardiology
  • Biomedical Signal Processing

Background:

  • Valvular heart disease diagnosis is difficult in ambulatory settings.
  • Heart sounds are crucial diagnostic signals.
  • The 'split' of heart sounds is a key diagnostic indicator.

Purpose of the Study:

  • To evaluate the Hilbert envelope for analyzing internal heart sound components.
  • To assess the Hilbert envelope's effectiveness in diagnosing valvular heart disease.

Main Methods:

  • Utilized the Shannon Hilbert envelope to analyze heart sounds.
  • Examined the morphology of the Hilbert envelope.
  • Applied temporal localization tests to heart sound components.

Main Results:

  • The Hilbert envelope provides greater awareness of internal heart sound components compared to the energy envelope.
  • The envelope's morphology aids in temporal localization.
  • The Hilbert envelope accounts for physiological attenuation and offers good separation.

Conclusions:

  • The Hilbert envelope is a promising approach for analyzing heart sounds.
  • This method enhances the diagnosis of valvular heart disease in ambulatory settings.

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