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Heart Sounds

Heart Sounds

Heart sounds are generated by the turbulence in blood flow due to the closing of heart valves. These sounds are best perceived slightly away from the valves, where the blood flow disseminates the sound.
Auscultation is the process of listening to these internal body sounds using a stethoscope. The heart produces four types of sounds, but only two—S1 and S2—can usually be heard with a stethoscope.
S1, also known as the "lub" sound, is caused by the closure of atrioventricular (A-V) valves at the...

Assessment of the Cardiovascular System IV: Auscultation

Assessment of the Cardiovascular System IV: Auscultation

Cardiac auscultation is a clinical skill used to assess heart function and detect abnormalities. It involves listening to heart sounds at specific anatomical locations through a stethoscope.
Normal Heart Sounds
S1 (First Heart Sound)-
S1 is made by the closure of the mitral and tricuspid valves (atrioventricular valves), marking the beginning of systole.
S2 (Second Heart Sound)-
S2 is made by the closure of the aortic and pulmonic valves (semilunar valves), marking the end of the systole.

Cardiovascular System Abnormal Findings II: Auscultation

Cardiovascular System Abnormal Findings II: Auscultation

Auscultation, an essential part of a heart examination, is done using a stethoscope. It provides crucial information about heart function and possible heart problems. Due to heart problems, abnormal sounds can be heard during systole or diastole. These sounds include S3 and S4 gallops, opening snaps, systolic clicks, and murmurs.
Abnormal Heart Sounds
Gallops:

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Related Experiment Video

Updated: May 14, 2026

Ultrasonic Assessment of Myocardial Microstructure

Ultrasonic Assessment of Myocardial Microstructure

Published on: January 14, 2014

Heart sound biometric system based on marginal spectrum analysis.

Zhidong Zhao¹, Qinqin Shen, Fangqin Ren

¹College of Electronics and Information, HangZhou DianZi University, Hangzhou 310018, China. zhaozd@hdu.edu.cn

Sensors (Basel, Switzerland)

|February 23, 2013

Summary

This study introduces a novel heart sound biometric system using marginal spectrum analysis for improved identification. This new technique significantly boosts recognition rates to 94.40%, outperforming traditional methods.

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Semi-automated Optical Heartbeat Analysis of Small Hearts

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Published on: September 16, 2009

Area of Science:

Biometrics
Signal Processing
Cardiovascular Health

Background:

Heart sounds offer unique biometric information.
Traditional feature extraction methods for heart sound biometrics have limitations.
Developing robust and accurate heart sound identification systems is crucial.

Purpose of the Study:

To present a novel heart sound biometric system utilizing marginal spectrum analysis.
To evaluate the effectiveness of marginal spectrum analysis as a feature extraction technique for heart sound identification.
To compare the performance of the proposed system against traditional methods.

Main Methods:

The system involves signal acquisition, pre-processing, feature extraction using marginal spectrum analysis, training, and identification.
Experiments were conducted to optimize system parameters.
A database of 280 heart sounds from 40 participants was used for evaluation.

Main Results:

The proposed marginal spectrum analysis achieved a recognition rate of 94.40%.
This significantly outperforms the traditional Fourier spectrum method, which yielded an 84.32% recognition rate.
Optimal system parameters were identified through experimental analysis.

Conclusions:

Marginal spectrum analysis is a highly effective feature extraction technique for heart sound biometrics.
The developed heart sound biometric system demonstrates superior performance compared to traditional approaches.
The findings suggest a promising new direction for biometric identification using phonocardiogram signals.