Results 211 to 220 of about 5,744 (245)
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Abnormal heart sound detection from unsegmented phonocardiogram using deep features and shallow classifiers

Multimedia tools and applications, 2023
Yang Chen   +4 more
semanticscholar   +1 more source

Digital processing of phonocardiograms: First results

International Journal of Bio-Medical Computing, 1974
Abstract Phonocardiography is the recording of the heart sounds. In this paper, the authors propose a method for phonocardiograms automatic parameterisation. The results of an automatic typological study made on parameterised records are presented.
F. Begon, W. Litwin
openaire   +3 more sources

Effect of Position on the Resting and Postexercise Phonocardiogram

Chest, 1972
Phonocardiograms were recorded at the maximum apical impulse in the left lateral decubitus position at rest and after a double Master two-step test in 100 normal subjects, mean age 51, in whom this procedure was previously performed in the supine position.
John Cassidy   +4 more
openaire   +3 more sources

Phonocardiography in the Horse: 1. The Intracardiac Phonocardiogram

Equine Veterinary Journal, 1979
SUMMARYUsing microtransducers, the intracardiac phonocardiogram was recorded in 8 horses from the right heart and in 6 of them also on the left side. All 4 heart sounds were recorded but not in all sites. Their timing was related to pressure events.Systolic ejection murmurs were recorded in both the pulmonary artery and the aorta.
C. M. Brown, R. Holmes
openaire   +2 more sources

A portable graphical representation tool for phonocardiograms

2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2009
This paper describes a prototype software application to display graphical and editable representations of patient data for use in electronic medical records (EMRs). The application dynamically generates graphics of cardiac and other patient data, and displays or saves them both in graphic and in text formats.
C. Becket Mahnke   +2 more
openaire   +3 more sources

Pole-Zero Modeling and Classification of Phonocardiograms

IEEE Transactions on Biomedical Engineering, 1983
Phonocardiography, the analysis of heart sounds, is a noninvasive diagnostic method useful in studying heart valve function. Phonocardiograms (PCG's) of porcine prosthetic heart valves in the aortic position were analyzed by a parametric signal modeling method in order to derive frequency domain features suitable for the classification of the valve ...
Robert S. Lees   +4 more
openaire   +3 more sources

Effective features in the diagnosis of cardiovascular diseases through phonocardiogram

Multidimensional systems and signal processing, 2023
Zahra Sabouri   +3 more
semanticscholar   +1 more source

Atlas of Pulse Tracings and Phonocardiograms.

Archives of Internal Medicine, 1970
The expressed purpose of this atlas of pulse tracings and phonocardiograms is "familiarizing those who are not well acquainted with these valuable adjuncts to the physical, and it provides a set of tracings of didactic value for those involved in teaching or learning the physical signs of heart disease." The author is successful in attaining this goal.
openaire   +2 more sources

The phonocardiogram and apexcardiogram in patients with ventricular aneurysm

The American Journal of Cardiology, 1968
Abstract The phonocardiographic and apexcardiographic findings are presented for 60 patients with established old myocardial infarction, 30 of whom had fluoroscopic evidence of ventricular aneurysm. The data indicate that presystolic gallop (83.4 per cent) and quadruple rhythm (40.0 per cent) are very common in patients with ventricular aneurysm and
Lawrence Gould   +2 more
openaire   +3 more sources

Phonocardiogram classification based on MFCC extraction

2017 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA), 2017
In this work, a simple method for separation between normal and abnormal heart sounds (Phonocardiogram) is presented. Mel-Frequency Cepstral Coefficients (MFCC) are extracted from two different datasets of heartbeats. Several Classifiers, such as, Support Vectors Machine (SVM), K-Nearest Neighbors (KNN), Naive Bayes (NB), Classification Tree (CT) and ...
Othmane El Badlaoui, Ahmed Hammouch
openaire   +2 more sources

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