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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:

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.

Imaging Studies for Cardiovascular System II:Types of Echocardiography

Imaging Studies for Cardiovascular System II:Types of Echocardiography

Echocardiography plays a role in assessing cardiac health and detecting heart conditions, with various types providing critical insights for diagnosis and treatment.
Types of Echocardiography
Transthoracic Echocardiography (TTE)
TTE is the most common type of echocardiogram which involves placing a transducer on the patient's chest, emitting sound waves to create heart images. TTE is invaluable for evaluating the heart's size, structure, and motion, making it particularly useful for...

Imaging Studies for Cardiovascular System I:Echocardiography

Imaging Studies for Cardiovascular System I:Echocardiography

Cardiac imaging studies encompass a wide range of noninvasive and minimally invasive techniques designed to visualize the heart's structure and function in detail. One such technique is echocardiography, which uses high-frequency ultrasound waves to produce detailed images of the heart, known as echocardiograms.
Indications: Echocardiography is utilized to diagnose heart failure, valve disorders, and myocardial infarction. It also assesses cardiac structures' size, shape, and motion,...

Anatomy of the Heart

Anatomy of the Heart

The human heart is made up of three layers of tissue that are surrounded by the pericardium, a membrane that protects and confines the heart. The outermost layer, closest to the pericardium, is the epicardium. The pericardial cavity separates the pericardium from the epicardium. Beneath the epicardium is the myocardium, the middle layer, and the endocardium, the innermost layer. There are four chambers of the heart: the right atrium, the right ventricle, the left atrium, and the left ventricle.

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Related Experiment Video

Updated: May 24, 2025

Echocardiographic Approaches and Protocols for Comprehensive Phenotypic Characterization of Valvular Heart Disease in Mice

Echocardiographic Approaches and Protocols for Comprehensive Phenotypic Characterization of Valvular Heart Disease in Mice

Published on: February 14, 2017

Heart Murmur Classification for Diagnostic Applications.

Ashley FitzGerald, Taikang Ning

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

|March 5, 2025

Summary

This study introduces a new method using signal processing and machine learning for heart murmur detection. The algorithm achieved a high F-score of 0.87, improving diagnostic capabilities.

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Last Updated: May 24, 2025

Echocardiographic Approaches and Protocols for Comprehensive Phenotypic Characterization of Valvular Heart Disease in Mice

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Published on: February 14, 2017

Murine Echocardiography of Left Atrium, Aorta, and Pulmonary Artery

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Noninvasive Determination of Vortex Formation Time Using Transesophageal Echocardiography During Cardiac Surgery

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Published on: November 28, 2018

Area of Science:

Biomedical Engineering
Computational Medicine
Signal Processing

Background:

Heart murmurs require accurate detection and classification for diagnosis.
Current methods may lack precision in characterizing murmur attributes.
Advancements in signal processing and machine learning offer new avenues for cardiovascular diagnostics.

Purpose of the Study:

To develop an innovative methodology for heart murmur detection and classification using advanced signal processing and machine learning.
To investigate the classification of murmur characteristics (pitch, duration, configuration, quality) essential for clinical diagnosis.
To enhance the accuracy and efficiency of automated heart murmur analysis.

Main Methods:

Applied signal processing techniques to extract 53 features from cardiac cycle data.
Utilized machine learning, including 5 supervised models (3 boosting) and 13 voting classifier combinations.
Evaluated algorithm performance using a confusion matrix for feature extraction and model efficiency.

Main Results:

The developed murmur detection algorithm achieved a significant F-score of 0.87.
Demonstrated the effectiveness of the proposed feature extraction methodology.
Validated the performance of various machine learning models in classifying heart murmurs.

Conclusions:

The innovative methodology shows promise for accurate heart murmur detection and classification.
Signal processing and machine learning integration can significantly improve diagnostic tools for cardiac conditions.
Further research can refine these techniques for broader clinical application.