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Updated: Oct 18, 2025

Semi-automated Optical Heartbeat Analysis of Small Hearts
Published on: September 16, 2009
Development of a Finger-Ring-Shaped Hybrid Smart Stethoscope for Automatic S1 and S2 Heart Sound Identification
Soomin Lee1, Qun Wei2, Heejoon Park2
1Department of Biomedical Engineering, Graduate School of Medicine, Keimyung University, Daegu 42601, Korea.
This study introduces a smart stethoscope that automatically analyzes heart sounds using photoplethysmogram (PPG) signals. The device accurately identifies S1 and S2 heart sounds, improving cardiovascular diagnosis accessibility.
Area of Science:
- Biomedical Engineering
- Cardiovascular Diagnostics
- Wearable Technology
Background:
- Cardiac auscultation is a common diagnostic method but is limited by visceral sound interference and requires experienced clinicians.
- Improving the accuracy and accessibility of cardiac auscultation is crucial for remote and non-expert use.
Purpose of the Study:
- To develop a hybrid-type personal smart stethoscope with automatic heart sound analysis capabilities.
- To enable non-medical staff to perform cardiac auscultation accurately anywhere, anytime.
Main Methods:
- A folding finger-ring shaped device was designed to simultaneously measure photoplethysmogram (PPG) and phonocardiogram (PCG) signals.
- An advanced Shannon entropy envelope was used for preprocessing to detect heart sound variations and PPG signal peaks.
- An algorithm was developed to analyze the time interval between S1 and S2 heart sounds and PPG peaks.
Main Results:
- The prototype device successfully collected heart sounds (PCG) and PPG signals in young adults.
- The smart stethoscope demonstrated accuracy in detecting heart sound start-points comparable to professional systems.
- The algorithm achieved high accuracy in the automatic identification of S1 and S2 heart sounds.
Conclusions:
- The proposed smart stethoscope offers a promising solution for accurate and accessible cardiac auscultation.
- The device's automatic analysis function can empower non-medical personnel to conduct reliable cardiovascular assessments.
- This technology has the potential to enhance remote patient monitoring and preliminary cardiac diagnostics.
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