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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:

Assessment of apical pulse

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Assessment of the Cardiovascular System IV: Auscultation

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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)-
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Special considerations while measuring blood pressure

Special considerations while measuring blood pressure

When assessing blood pressure (BP), healthcare professionals must consider various factors and potential unexpected outcomes to ensure accurate readings and provide proper patient care. Adhering to these guidelines is essential to achieving the most reliable results.
Monitoring Both Arms:
Monitoring BP in both arms during the initial assessment is advisable, as the systolic value may differ by five to ten mm Hg between arms. For subsequent BP assessments, use the arm with the higher reading.

Assessment of blood pressure in brachial artery(two-step method)

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Measuring blood pressure is a fundamental skill in healthcare that aids in diagnosing and monitoring hypertension and other cardiovascular conditions. An aneroid sphygmomanometer, commonly used in clinical settings, offers a manual and precise method for blood pressure measurement. The technique for using this instrument involves specific steps that must be carefully executed to ensure accuracy. The following detailed description outlines a two-step technique for assessing blood pressure using...

Assessment of blood pressure in brachial artery(one-step method)

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Prepare for the Procedure:

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Related Experiment Video

Updated: Jun 9, 2025

Measuring Cardiac Autonomic Nervous System ANS Activity in Children

Measuring Cardiac Autonomic Nervous System ANS Activity in Children

Published on: April 29, 2013

Phonocardiogram (PCG) Murmur Detection Based on the Mean Teacher Method.

Yi Luo¹, Zuoming Fu², Yantian Ding³

¹Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21287, USA.

Sensors (Basel, Switzerland)

|October 26, 2024

Summary

This summary is machine-generated.

Early detection of cardiovascular diseases (CVDs) is crucial. Our new method using heart sound analysis (Phonocardiograms) achieved state-of-the-art performance for identifying murmurs, offering an accessible tool for early CVD assessment.

Keywords:

cardiovascular disease (CVD)low and middle-income countries (LMICs)mean teacher murmur detection non-invasive assessment phonocardiogram (PCG)semi-supervised learning

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Last Updated: Jun 9, 2025

Measuring Cardiac Autonomic Nervous System ANS Activity in Children

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Ultrasonic Assessment of Myocardial Microstructure

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Published on: January 14, 2014

Area of Science:

Cardiology
Biomedical Engineering
Artificial Intelligence in Healthcare

Background:

Cardiovascular diseases (CVDs) are a leading global cause of mortality.
Early detection of CVDs, especially in pediatric populations, is vital for effective management.
Phonocardiograms (PCGs) offer a non-invasive method for assessing cardiac function and detecting abnormalities like murmurs.

Purpose of the Study:

To develop an accurate and accessible tool for early-stage cardiovascular disease assessment.
To improve the detection of heart murmurs using phonocardiogram (PCG) signals.
To address the public health challenge of early CVD diagnosis in underprivileged regions.

Main Methods:

Utilized the mean teacher method for murmur detection in PCG signals.
Trained the model on the PhysioNet 2022 and PhysioNet 2016 PCG datasets.
Evaluated performance using the murmur score and Area Under the Curve (AUC) metrics.

Main Results:

Achieved state-of-the-art (SOTA) performance in murmur detection.
Obtained a murmur score of 0.82 and an AUC score of 0.90.
Demonstrated the effectiveness of the proposed method for early CVD assessment.

Conclusions:

The developed mean teacher method provides a high-accuracy, non-invasive tool for early CVD detection.
This approach is particularly beneficial for low and middle-income countries (LMICs).
Accessible early-stage CVD assessment can significantly mitigate mortality rates.