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Related Concept Videos

Heart Sounds01:15

Heart Sounds

3.7K
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)...
3.7K
Aortic Regurgitation II: Clinical Features and Diagnostic Tests01:22

Aortic Regurgitation II: Clinical Features and Diagnostic Tests

1.2K
Aortic valve regurgitation (AR) occurs when the aortic valve fails to close properly, allowing blood to flow backward from the aorta into the left ventricle. This backflow can result in two distinct clinical presentations: acute and chronic AR, each characterized by its own set of symptoms and physical findings.Acute Aortic RegurgitationAcute AR presents with a sudden onset of severe symptoms. Patients typically experience profound dyspnea (shortness of breath), chest pain, and signs of left...
1.2K
Cardiovascular System Abnormal Findings II: Auscultation01:25

Cardiovascular System Abnormal Findings II: Auscultation

866
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:
866
Assessment of the Cardiovascular System IV: Auscultation01:25

Assessment of the Cardiovascular System IV: Auscultation

2.8K
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.
2.8K
Pulse01:16

Pulse

2.5K
When the heart pumps blood out, arterial elastic fibers play a crucial role in sustaining a high-pressure gradient. They expand to accommodate the received blood and then recoil - a process known as the pulse that can be either manually palpated or electronically quantified. Despite a reduction in its effect with increased distance from the heart, elements of the pulse's systolic and diastolic components persist, observable even at the arteriole level.
The pulse serves as a clinical...
2.5K
Assessing Blood pressure using a doppler ultrasound01:19

Assessing Blood pressure using a doppler ultrasound

3.0K
To obtain accurate blood pressure measurements in clinical settings, especially when traditional methods are insufficient, healthcare professionals utilize the Doppler ultrasound technique. This method uses high-frequency sound waves to detect blood flow within the arteries, which is crucial for patients with conditions that complicate circulatory system assessment.
Pre-Procedural Guidelines for Doppler Ultrasound Blood Pressure Assessment:
Preparation of Equipment:
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Related Experiment Video

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Semi-automated Optical Heartbeat Analysis of Small Hearts
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Automatic heart sounds detection and systolic murmur characterization using wavelet transform and AR modeling.

Taikang Ning, Kai-Sheng Hsieh

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |October 11, 2013
    PubMed
    Summary

    This study presents a novel signal processing method to detect and characterize systolic heart murmurs. The procedure accurately identifies heart sounds, isolates systole, and analyzes murmur characteristics like timing and pitch.

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    Area of Science:

    • Biomedical Engineering
    • Cardiovascular Signal Processing
    • Medical Diagnostics

    Background:

    • Accurate detection and characterization of heart murmurs are crucial for diagnosing cardiac conditions.
    • Traditional methods may lack precision in identifying subtle murmur characteristics.

    Purpose of the Study:

    • To develop and validate a signal processing procedure for identifying and characterizing systolic heart murmurs.
    • To improve the accuracy of automated cardiac auscultation analysis.

    Main Methods:

    • Utilized discrete wavelet transform (DWT) with Coiflet wavelet for heart sound identification (S1 and S2).
    • Employed signal activity indicators and AR modeling for systole extraction and murmur characterization (timing, duration, pitch, shape).

    Main Results:

    • Successfully identified first (S1) and second (S2) heart sounds and isolated systole.
    • Enabled detection and characterization of systolic murmurs, classifying them by shape (crescendo, decrescendo, etc.).
    • Validated the procedure using clinically recorded murmur episodes.

    Conclusions:

    • The proposed signal processing procedure offers a robust method for automated systolic murmur analysis.
    • This technique has potential applications in clinical settings for improved cardiac diagnostics.