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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)...

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.

Hearing

Hearing

When we hear a sound, our nervous system is detecting sound waves—pressure waves of mechanical energy traveling through a medium. The frequency of the wave is perceived as pitch, while the amplitude is perceived as loudness.

Perceiving Loudness, Pitch, and Location

Perceiving Loudness, Pitch, and Location

The human brain perceives pitch through two primary mechanisms reflected in place theory and frequency theory. Each mechanism describes how sound waves are interpreted as specific pitches by the brain, offering insights into the intricate processes of auditory perception.
Place theory, or place coding, suggests that different pitches are heard because various sound waves activate specific locations along the cochlea's basilar membrane. The brain determines the pitch of a sound by...

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:

Dysrhythmias II: Classification of Tachyarrhythmias

Dysrhythmias II: Classification of Tachyarrhythmias

Tachyarrhythmias are a type of dysrhythmia where the heart rate exceeds 100 beats per minute. Here are some common types of tachyarrhythmias:Sinus TachycardiaSinus tachycardia originates from increased impulses from the sinus node, leading to an elevated heart rate. It is often triggered by stress, fever, or exercise.Patients may experience palpitations, a sensation of a racing heart, dizziness, and chest discomfort.Causes and Risk Factors: Common causes include physical exertion, emotional...

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Related Experiment Video

Updated: Dec 30, 2025

Behavioral Determination of Stimulus Pair Discrimination of Auditory Acoustic and Electrical Stimuli Using a Classical Conditioning and Heart-rate Approach

Behavioral Determination of Stimulus Pair Discrimination of Auditory Acoustic and Electrical Stimuli Using a Classical Conditioning and Heart-rate Approach

Published on: June 6, 2012

Using Soft Attention Mechanisms to Classify Heart Sounds.

Jorge Oliveira, Marcelo Nogueira, Cleber Ramos

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

|January 18, 2020

Summary

This study introduces a novel soft attention and recurrent neural network approach for classifying heart sound signals. The method effectively identifies significant audio segments, improving abnormal heart sound detection and classification.

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Last Updated: Dec 30, 2025

Behavioral Determination of Stimulus Pair Discrimination of Auditory Acoustic and Electrical Stimuli Using a Classical Conditioning and Heart-rate Approach

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Area of Science:

Artificial Intelligence
Biomedical Signal Processing
Machine Learning

Background:

Soft attention mechanisms enhance information processing by focusing on salient features, inspired by human visual cortex.
Current applications of soft attention include image captioning and text translation.
Heart sound classification is a critical area in biomedical signal processing.

Purpose of the Study:

To adapt soft attention mechanisms for audio scene classification, specifically for heart sound signals.
To develop a novel approach combining soft attention and recurrent neural networks (RNNs) for heart sound analysis.
To improve the accuracy and interpretability of abnormal heart sound detection and classification.

Main Methods:

A novel hybrid model integrating soft attention mechanisms with recurrent neural networks was proposed.
The model was trained to automatically identify significant audio segments within heart sound recordings.
The methodology focused on classifying abnormal heart sound signals.

Main Results:

The proposed algorithm successfully learned to pinpoint critical audio segments in heart sound signals.
Significant improvements were observed in the classification accuracy of abnormal heart sounds.
The model provided a degree of justification for its classification decisions by highlighting salient features.

Conclusions:

The integration of soft attention with RNNs offers a promising approach for heart sound classification.
This methodology enhances the ability to detect and classify abnormal heart sounds more effectively.
The approach contributes to more interpretable and accurate diagnostic tools in cardiovascular auscultation.