Phonocardiogram segmentation by using Hidden Markov Models [PDF]
, 2007 This paper is concerned to the segmentation of heart sounds by using state of art Hidden Markov Models technology. Concerning to several heart pathologies the analysis of the intervals between the first and second heart sounds is of utmost importance ...
Cardoso, Manuel J., Lima, C. S.
core
Mechanical vibration transmission characteristics of the left ventricle: Implications with regard to auscultation and phonocardiography [PDF]
, 1984 Systolic-diastolic phasic alteration of left ventricular mechanical vibration transmissibility was studied in an open chest canine preparation. A continuous vibratory tone was applied to the base of the heart, and a miniature heart surface vibration ...
Craige, Ernesti +2 more
core +2 more sources
TechnologiesWorldwide, heart disease is the leading cause of mortality. Cardiac auscultation, when conducted by a trained professional, is a non-invasive, cost-effective, and readily available method for the initial assessment of cardiac health.
Leonel Orozco-Reyes +4 more
doaj +1 more source
Automatic segmentation of the second cardiac sound by using wavelets and hidden Markov models [PDF]
, 2008 This paper is concerned with the segmentation of the second heart sound (S2) of the phonocardiogram (PCG), in its two acoustic events, aortic (A2) and pulmonary (P2) components. The aortic valve (A2) usually closes before the pulmonary valve (P2) and the
Barbosa, Daniel, Lima, C. S.
core +1 more source
A historical timeline of the development and evolution of medical diagnostic ultrasonography
Journal of Clinical Ultrasound, Volume 52, Issue 9, Page 1419-1437, November/December 2024.This narrative review presents a historical timeline of the invention, development and evolution of diagnostic medical ultrasound as a tribute to the researchers who contributed to this amazing invention. It includes several fun facts and anecdotes to help the reader identify with many of the incredible researchers in this field.
Arvind Rajamani +6 more
wiley +1 more source
Physical and psychological rehabilitation for common weightlifting injuries [PDF]
In the process of weightlifting, there is an increased load on both the respiratory system, the cardiovascular system, and on individual parts of the nervous system.
Kozlova, Elena +3 more
core +4 more sources
A lightweight hybrid deep learning system for cardiac valvular disease classification
Scientific Reports, 2022 Cardiovascular diseases (CVDs) are a prominent cause of death globally. The introduction of medical big data and Artificial Intelligence (AI) technology encouraged the effort to develop and deploy deep learning models for distinguishing heart sound ...
Yazan Al-Issa, Ali Mohammad Alqudah
doaj +1 more source
Phonocardiogram Signal Analysis Based Premature Cardiac Influence Detection using Resnet50 CNN for Public Health Protection [PDF]
Phonocardiogram (PCG) signal analysis plays a crucial role in the early detection of cardiac abnormalities, which is essential for public health protection.
Kumar, Yalakala Dinesh, Sinha, Anupa
core +2 more sources
An Ensemble of Transfer, Semi-supervised and Supervised Learning Methods for Pathological Heart Sound Classification [PDF]
, 2018 In this work, we propose an ensemble of classifiers to distinguish between various degrees of abnormalities of the heart using Phonocardiogram (PCG) signals acquired using digital stethoscopes in a clinical setting, for the INTERSPEECH 2018 Computational Paralinguistics (ComParE) Heart Beats SubChallenge.
arxiv +1 more source
Deep Learning Based Classification of Unsegmented Phonocardiogram Spectrograms Leveraging Transfer Learning [PDF]
arXiv, 2020 Cardiovascular diseases (CVDs) are the main cause of deaths all over the world. Heart murmurs are the most common abnormalities detected during the auscultation process. The two widely used publicly available phonocardiogram (PCG) datasets are from the PhysioNet/CinC (2016) and PASCAL (2011) challenges. The datasets are significantly different in terms
arxiv