Results 131 to 140 of about 5,008 (218)

Automated Rheumatic Heart Disease Detection from Phonocardiogram in Cardiology Ward [PDF]

, 2020
Melkamu Hunegnaw Asmare, Frehiwot Woldehanna, Luc Janssens, Bart Vanrumste   +3 more
openalex   +1 more source

Acoustic heart. Interpretation of Phonocardiograms by computer [PDF]

, 2015
J. Parrón, F.J Trigo Tavera, J M Velázquez, Gabriela Blasco López, Reyes Hernández, Alejandro Enrique Orozco Morales   +5 more
openalex   +1 more source

16th European College of Equine Internal Medicine (ECEIM) Congress

Journal of Veterinary Internal Medicine, Volume 38, Issue 2, Page 1240-1262, March/April 2024.
wiley   +1 more source

A technique for bicuspidization of the aortic valve [PDF]

, 1959
CRUZAT, EP, LEWIS, FJ, STARZL, TE, WALKER, FB   +3 more
core   +1 more source

Heart sound classification from unsegmented phonocardiograms [PDF]

, 2017
Philip Langley, Alan Murray
openalex   +1 more source

Electrocardiogram of Congenital Heart Disease in Relation to their Operative Findings : Electrocardiogram and Phonocardiogram in Relation to Operative Findings : Symposium on Limitation of Diagnostic Value of Electrocardiography and Phonocardiography

, 1966
Fumio Satō
openalex   +2 more sources

Mobile Phonocardiogram Diagnosis in Newborns Using Support Vector Machine [PDF]

, 2017
Amir Mohammad Amiri, Mohammadreza Abtahi, Nicholas Constant, Kunal Mankodiya   +3 more
openalex   +1 more source

NMCSE: Noise-Robust Multi-Modal Coupling Signal Estimation Method via Optimal Transport for Cardiovascular Disease Detection [PDF]

arXiv
Electrocardiogram (ECG) and Phonocardiogram (PCG) signals are linked by a latent coupling signal representing the electrical-to-mechanical cardiac transformation. While valuable for cardiovascular disease (CVD) detection, this coupling signal is traditionally estimated using deconvolution methods that amplify noise, limiting clinical utility.
arxiv  

Foundation Model Hidden Representations for Heart Rate Estimation from Auscultation [PDF]

arXiv
Auscultation, particularly heart sound, is a non-invasive technique that provides essential vital sign information. Recently, self-supervised acoustic representation foundation models (FMs) have been proposed to offer insights into acoustics-based vital signs.
arxiv  

Automated Heart Sound Classification from Unsegmented Phonocardiogram Signals Using Time Frequency Features [PDF]

, 2018
Nadia Masood Khan, Muhammad Salman Khan, Gul Muhammad Khan   +2 more
openalex   +1 more source