Results 1 to 10 of about 2,170 (177)

Rheumatic Heart Disease Screening Based on Phonocardiogram

Sensors, 2021
Rheumatic heart disease (RHD) is one of the most common causes of cardiovascular complications in developing countries. It is a heart valve disease that typically affects children. Impaired heart valves stop functioning properly, resulting in a turbulent
, Bart Vanrumste, Melkamu Hunegnaw Asmare   +2 more
exaly   +3 more sources

Assessing Hemorrhagic Shock Severity Using the Second Heart Sound Determined from Phonocardiogram: A Novel Approach

Micromachines, 2022
Introduction: Hemorrhagic shock (HS) is a severe medical emergency. Early diagnosis of HS is important for clinical treatment. In this paper, we report a flexible material-based heart sound monitoring device which can evaluate the degree of HS through a ...
Jiangbei Cao, Aisheng Hou, Yan Chen
exaly   +3 more sources

Phonocardiogram Signal Processing for Automatic Diagnosis of Congenital Heart Disorders through Fusion of Temporal and Cepstral Features

Sensors, 2020
Congenital heart disease (CHD) is a heart disorder associated with the devastating indications that result in increased mortality, increased morbidity, increased healthcare expenditure, and decreased quality of life. Ventricular Septal Defects (VSDs) and
Muhammad Altaf, Muhammad Umar Khan, Majed Alhaisoni   +2 more
exaly   +3 more sources

Beat-by-Beat Estimation of Hemodynamic Parameters in Left Ventricle Based on Phonocardiogram and Photoplethysmography Signals Using a Deep Learning Model: Preliminary Study

Bioengineering
Beat-by-beat monitoring of hemodynamic parameters in the left ventricle contributes to the early diagnosis and treatment of heart failure, valvular heart disease, and other cardiovascular diseases.
Zuowei Pei, Hongkai Wang, Hong Tang
exaly   +3 more sources

The utility of phonocardiograms in real-time remote cardiac auscultation using an internet-connected electronic stethoscope: Open-label randomized controlled pilot trial

Digital Health, 2023
Background We have shown classical cardiac auscultation was superior to remote auscultation. We developed a phonocardiogram system to visualize sounds in remote auscultation.
Takanobu Hirosawa, Takahiro Ito, Yukinori Harada, Kohei Ikenoya, Masashi Yokose, Taro Shimizu   +5 more
doaj   +1 more source

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

Exploring the Impact of Signal Quality Enhancement on Heart Sound Classification Models

IEEE Access, 2023
Limited cardiology resources increase the urgency for automated heart disease screening for the general public. Heart sound diagnostic models have been recently employed as a cost-effective solution for the initial screening of heart disease.
Davoud Shariat Panah, Andrew Hines, Susan Mckeever   +2 more
doaj   +1 more source

Discrimination of Patients with Varying Degrees of Coronary Artery Stenosis by ECG and PCG Signals Based on Entropy

Entropy, 2021
Coronary heart disease (CHD) is the leading cause of cardiovascular death. This study aimed to propose an effective method for mining cardiac mechano-electric coupling information and to evaluate its ability to distinguish patients with varying degrees ...
Huan Zhang, Xinpei Wang, Changchun Liu, Yuanyang Li, Yuanyuan Liu, Yu Jiao, Tongtong Liu, Huiwen Dong, Jikuo Wang   +8 more
doaj   +1 more source

Cross-Domain Transfer Learning for PCG Diagnosis Algorithm

Biosensors, 2021
Cardiechema is a way to reflect cardiovascular disease where the doctor uses a stethoscope to help determine the heart condition with a sound map.
Kuo-Kun Tseng, Chao Wang, Yu-Feng Huang, Guan-Rong Chen, Kai-Leung Yung, Wai-Hung Ip   +5 more
doaj   +1 more source

Classification of Heart Sounds Using Chaogram Transform and Deep Convolutional Neural Network Transfer Learning

Sensors, 2022
Heart sounds convey important information regarding potential heart diseases. Currently, heart sound classification attracts many researchers from the fields of telemedicine, digital signal processing, and machine learning—among others—mainly to identify
Ali Harimi, Yahya Majd, Abdorreza Alavi Gharahbagh, Vahid Hajihashemi, Zeynab Esmaileyan, José J. M. Machado, João Manuel R. S. Tavares   +6 more
doaj   +1 more source