Results 41 to 50 of about 7,978 (286)

A GENERATIVE MODEL FOR DEEP FAKE AUGMENTATION OF PHONOCARDIOGRAM AND ELECTROCARDIOGRAM SIGNALS USING LSGAN AND CYCLE GAN

Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, 2023
In order to diagnose a range of cardiac conditions, it is important to conduct an accurate evaluation of either phonocardiogram (PCG) and electrocardiogram (ECG) data.
Swarajya Madhuri Rayavarapu, Tammineni Shanmukha Prasanthi, Gottapu Santosh Kumar, Gottapu Sasibhushana Rao, Gottapu Prashanti   +4 more
doaj   +1 more source

Systolic third sound associated with systolic anterior motion of the mitral valve in cats with obstructive hypertrophic cardiomyopathy

Journal of Veterinary Internal Medicine, Volume 37, Issue 5, Page 1679-1684, September/October 2023., 2023
Abstract Background Third heart sounds in cats frequently are associated with hypertrophic cardiomyopathy (HCM) but their exact characterization and timing within the cardiac cycle remains unknown. Objectives Characterize third heart sounds in cats by phonocardiography and test the ability of 3 observers with different levels of experience and training
Vittorio Saponaro, Clémence Mey, Irène Vonfeld, Antoine Chamagne, Maria‐Paz Alvarado, Jean‐luc Cadoré, Valérie Chetboul, Loïc Desquilbet   +7 more
wiley   +1 more source

Transfer Learning Models for Detecting Six Categories of Phonocardiogram Recordings

Journal of Cardiovascular Development and Disease, 2022
Background and aims: Auscultation is a cheap and fundamental technique for detecting cardiovascular disease effectively. Doctors’ abilities in auscultation are varied.
Miao Wang, Binbin Guo, Yating Hu, Zehang Zhao, Chengyu Liu, Hong Tang   +5 more
semanticscholar   +1 more source

Menopausal stage differences in endothelial resistance to ischemia‐reperfusion injury

Physiological Reports, Volume 11, Issue 18, September 2023., 2023
Abstract Background In postmenopausal women, reduced ovarian function precedes endothelial dysfunction and attenuated endothelial resistance to ischemia‐reperfusion (IR) injury. We hypothesized that IR injury would lower endothelial function, with premenopausal women demonstrating the greatest protection from injury, followed by early, then late ...
Jocelyn M. Delgado Spicuzza, David N. Proctor, Dick H. J. Thijssen, Yasina B. Somani   +3 more
wiley   +1 more source

A Lightweight Robust Approach for Automatic Heart Murmurs and Clinical Outcomes Classification from Phonocardiogram Recordings

2022 Computing in Cardiology (CinC), 2022
Cardiac auscultation provides an efficient and cost-effective way for cardiac disease pre-screening. The George B. Moody PhysioNet Challenge 2022 aimed to detect heart murmurs and clinical outcomes with heart sound recordings from multiple auscultation ...
Hui Lu, J. Yip, T. Steigleder, Stefan Grießhammer, M. Heckel, Naga Venkata Sai Jitin Jami, Bjoern M. Eskofier, C. Ostgathe, Alexander Koelpin   +8 more
semanticscholar   +1 more source

Deep learning‐based high‐dimensional multiple regression estimator for chest x‐ray image classification in rapid cardiomegaly screening

Translational Biophotonics, Volume 5, Issue 3-4, August-November 2023., 2023
For a chest x‐ray image, we obtain an input map with the bounding box and then feed it to the proposed two‐channel CNPP (convolution‐normalization‐pooling processes) paths to extract the feature parameters of the heart and left/right thoracic cages. In the classification layer, the multilayer network is used to predict the four coordinate points of the
Pi‐Yun Chen, Chia‐Hung Lin, Hung‐Yao Peng, Feng‐Zhou Zhang, Chung‐Dann Kan   +4 more
wiley   +1 more source

A Novel Approach to Simultaneous Phonocardiography and Electrocardiography During Auscultation

IEEE Access, 2023
The combination of the phonocardiogram (PCG) and the electrocardiogram (ECG) allows the simultaneous evaluation of the heart’s mechanical and electrical conditions and could significantly improve the accuracy of an initial cardiovascular disease ...
Sofia M. Monteiro, Hugo Placido da Silva
doaj   +1 more source

Enhancing pediatric congenital heart disease detection using customized 1D CNN algorithm and phonocardiogram signals. [PDF]

Heliyon
Haq IU, Husnain G, Ghadi YY, Innab N, Alajmi M, Aljuaid H.   +5 more
europepmc   +2 more sources

Wavelet-based fundamental heart sound recognition method using morphological and interval features

Healthcare Technology Letters, 2018
Accurate and reliable recognition of fundamental heart sounds (FHSs) plays a significant role in automated analysis of heart sound (HS) patterns. This Letter presents an automated wavelet-based FHS recognition (WFHSR) method using morphological and ...
V. Nivitha Varghees, K.I. Ramachandran, K.P. Soman   +2 more
doaj   +1 more source

KLASIFIKASI SINYAL PHONOCARDIOGRAM MENGGUNAKAN METODE SHORTTIME FOURIER TRANSFORM DAN SUPPORT VECTOR MACHINE

Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer, 2023
Penggunaan phonocardiogram (PCG) dalam mengekstraksi informasi-informasi secara elektronik membutuhkan analisis sinyal yang kompleks. Namun, PCG memiliki keunggulan bersifat non invasif dan hemat dibandingkan dengan electrocardiogram (EKG).
Faqih Amatya Hendrayan, Dodi Zulherman, Rahmat Widadi   +2 more
doaj   +1 more source