Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Cardiovascular System Abnormal Findings II: Auscultation01:25

Cardiovascular System Abnormal Findings II: Auscultation

341
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:
341
Heart Sounds01:15

Heart Sounds

2.7K
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)...
2.7K
Assessment of the Cardiovascular System IV: Auscultation01:25

Assessment of the Cardiovascular System IV: Auscultation

1.1K
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.
1.1K
Pulse rhythm01:30

Pulse rhythm

1.1K
Pulse rhythm refers to the pattern of pulsations within specific intervals, offering valuable insights into the regularity or irregularity of the heart's beats as observed through the pattern of pulsation within specific intervals. A regular pulse exhibits a consistent heart rate with uniform waveforms and pulsation force, variations of which can be classified as normal, weak, or bounding.
Conversely, an irregular pulse pattern is termed dysrhythmia, stemming from disruptions in cardiac...
1.1K
Mitral Stenosis II: Clinical features and Diagnostic Tests01:23

Mitral Stenosis II: Clinical features and Diagnostic Tests

69
Mitral stenosis is a heart condition in which the mitral valve, which allows blood to flow from the left atrium to the left ventricle, becomes narrowed or stenotic. This narrowing hinders blood flow and leads to clinical symptoms requiring specific medical evaluations and management strategies. The following overview outlines the clinical symptoms, assessments, diagnostic findings, prevention methods, and treatments for mitral stenosis.Clinical ManifestationsDyspnea (shortness of breath): This...
69

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Association of the C-reactive protein-triglyceride-glucose index (CTI) with lower-extremity peripheral artery disease among U.S. adults.

Atherosclerosis plus·2026
Same author

Pulse Wave Velocity in Atrial Fibrillation: A Scoping Review of Clinical Relevance.

Cureus·2026
Same author

Janus Kinase and Interleukin-6 Inhibitor-Induced Lipid Modulation and Its Association With Major Adverse Cardiovascular Events in Rheumatoid Arthritis: A Systematic Review of Clinical and Biomarker Evidence.

Cureus·2026
Same author

Racial and ethnic differences and temporal changes in outcomes following transcatheter aortic valve replacement in urban hospitals.

Cardiovascular revascularization medicine : including molecular interventions·2026
Same author

Right anterior mini-thoracotomy for isolated aortic valve replacement: An international and multicenter study.

JTCVS open·2026
Same author

C-reactive protein-triglyceride-glucose index is an independent predictor of cardiovascular mortality in patients with metabolic syndrome.

Journal of clinical lipidology·2026

Related Experiment Video

Updated: Nov 8, 2025

Asthma Detection Research Based on Voice Signal Processing and Machine Learning
04:04

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Published on: July 22, 2025

627

Deep Learning Algorithm for Automated Cardiac Murmur Detection via a Digital Stethoscope Platform.

John S Chorba1,2, Avi M Shapiro3, Le Le3

  • 1Division of Cardiology University of California San Francisco San Francisco CA.

Journal of the American Heart Association
|April 26, 2021
PubMed
Summary
This summary is machine-generated.

A new deep learning algorithm effectively detects cardiac murmurs and valvular heart disease from digital stethoscope recordings. This AI tool shows performance comparable to expert cardiologists, aiding clinical screening for heart conditions.

Keywords:
auscultationmachine learningneural networksphysical examinationvalvular heart disease

More Related Videos

Machine Learning-Based Cough Tone Classification: Diagnostic Exploration of Chronic Obstructive Pulmonary Disease and Respiratory Tract Infections
06:22

Machine Learning-Based Cough Tone Classification: Diagnostic Exploration of Chronic Obstructive Pulmonary Disease and Respiratory Tract Infections

Published on: September 19, 2025

153
Semi-automated Optical Heartbeat Analysis of Small Hearts
12:10

Semi-automated Optical Heartbeat Analysis of Small Hearts

Published on: September 16, 2009

12.5K

Related Experiment Videos

Last Updated: Nov 8, 2025

Asthma Detection Research Based on Voice Signal Processing and Machine Learning
04:04

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Published on: July 22, 2025

627
Machine Learning-Based Cough Tone Classification: Diagnostic Exploration of Chronic Obstructive Pulmonary Disease and Respiratory Tract Infections
06:22

Machine Learning-Based Cough Tone Classification: Diagnostic Exploration of Chronic Obstructive Pulmonary Disease and Respiratory Tract Infections

Published on: September 19, 2025

153
Semi-automated Optical Heartbeat Analysis of Small Hearts
12:10

Semi-automated Optical Heartbeat Analysis of Small Hearts

Published on: September 16, 2009

12.5K

Area of Science:

  • Artificial Intelligence in Medicine
  • Cardiology
  • Digital Health

Background:

  • Clinical detection of heart murmurs and valvular disease varies among physicians.
  • Deep learning (DL) offers potential for extracting clinical insights from medical data.

Purpose of the Study:

  • To evaluate a DL algorithm's accuracy in identifying murmurs and significant valvular heart disease using digital stethoscope recordings.
  • To compare the DL algorithm's performance against expert cardiologists.

Main Methods:

  • A deep neural network was trained on over 34 hours of annotated heart sound recordings.
  • The algorithm was tested on 962 patients using a commercial digital stethoscope.
  • Ground truth was determined by echocardiograms and expert cardiologist annotations.

Main Results:

  • The algorithm achieved 76.3% sensitivity and 91.4% specificity for murmur detection.
  • Sensitivity for murmur detection increased to 90.0% when excluding grade 1 murmurs.
  • Detection of moderate-to-severe aortic stenosis and mitral regurgitation showed high accuracy.

Conclusions:

  • The DL algorithm demonstrates performance comparable to expert cardiologists in detecting murmurs and significant valvular heart disease.
  • This AI tool could serve as a valuable front-line clinical support system for screening valvular heart disease.
  • The findings support the integration of AI in cardiac auscultation for improved patient care.