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Updated: May 11, 2026
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
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
Summary
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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