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Updated: Aug 1, 2026

Semi-automated Optical Heartbeat Analysis of Small Hearts
Published on: September 16, 2009
Computer-based detection and analysis of heart sound and murmur
M El-Segaier1, O Lilja, S Lukkarinen
1Department of Paediatrics, Division of Paediatric Cardiology, Lund University Hospital, Sweden. milad.el-segaier@skane.se
A new digital algorithm accurately detects heart sounds and defines cardiac cycle phases. This method enables computer-based characterization of pediatric systolic murmurs, improving diagnostic capabilities.
Area of Science:
- Cardiology
- Biomedical Engineering
- Signal Processing
Background:
- Accurate detection of heart sounds is crucial for diagnosing pediatric cardiac conditions.
- Characterizing systolic murmurs aids in identifying underlying heart defects.
Purpose of the Study:
- To develop a digital algorithm for detecting first and second heart sounds.
- To define systole and diastole using electrocardiography (ECG) and heart sound data.
- To characterize systolic murmurs in children.
Main Methods:
- Recorded heart sounds in 300 children using an electronic stethoscope.
- Developed a digital algorithm using R-waves and T-waves from ECG as references.
- Analyzed sound signals using short-time Fourier transform for murmur characterization.
Main Results:
- Achieved 100% detection rate for the first heart sound relative to R-wave.
- Obtained a 97% detection rate for the second heart sound relative to T-wave.
- Successfully identified systolic and diastolic phases and quantified murmur characteristics.
Conclusions:
- The developed algorithm provides a foundation for computer-based detection and characterization of heart sounds and murmurs.
- This technology has the potential to enhance the diagnosis of pediatric cardiac conditions.
- Further development can lead to automated screening tools for congenital heart disease.
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