Results 21 to 30 of about 5,458 (233)
A Comprehensive Nomogram Integrating Phonocardiogram and Echocardiogram Features for the Diagnosis of Heart Failure With Preserved Ejection Fraction. [PDF]
A total of 204 patients and 49 features were collected. After splitting the population into training and test sets according to a ratio of 7:3, the LASSO and logistic regression was used to select the final five factors for a nomogram. The AUC for the nomogram model is 0.945, while the AUC for the echocardiographic parameters combined with NT‐proBNP in
Cao L, Guo X, Liao K, Qin J, Zheng Y.
europepmc +2 more sources
Exploring the Impact of Signal Quality Enhancement on Heart Sound Classification Models
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 +2 more
doaj +1 more source
Acoustic Cardiography (ACG) for Left Ventricular Ejection Time (LVET) Monitoring in Preeclampsia Risk Prediction. [PDF]
ACG‐derived parameters (LVET), integrated with clinical risk factors, demonstrated dynamic monitoring potential for early Preeclampsia detection, particularly in resource‐limited settings. ABSTRACT Background Preeclampsia (PE), a leading cause of maternal morbidity, lacks reliable early biomarkers.
Tang C +6 more
europepmc +2 more sources
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 +8 more
doaj +1 more source
Cross-Domain Transfer Learning for PCG Diagnosis Algorithm
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 +5 more
doaj +1 more source
Importance of fourth heart sound and preserved left atrial function in wild-type transthyretin amyloidosis. [PDF]
Abstract Aims A fourth heart sound (S4) was reported to be almost never present in patients with amyloid light‐chain cardiomyopathy. There have been no reports on S4 in patients with wild‐type transthyretin amyloid cardiomyopathy (ATTRwt‐CM). This study aimed to clarify the clinical implications of S4 in patients with ATTRwt‐CM.
Ochi Y +8 more
europepmc +2 more sources
High-resolution phonocardiogram parameters
Abstract The article describes the results of studying and analyzing phonocardiograms (PCGs) obtained during a physiological experiment with Blu-ray standard equipment. It provides the findings of a spectral and spectral-time analysis for signals with a sampling frequency of 10, 44.1 and 192 kHz.
Zemlyakov, I. Yu. +5 more
openaire +2 more sources
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 +6 more
doaj +1 more source
Early diastolic heart sounds caused by the atrial kick. [PDF]
Phonogram (top) demonstrates an early diastolic sound (arrows) which corresponds to the P‐wave on the EKG in a patient with second‐degree type I AV block. Abstract An 81‐year‐old male with a history of coronary artery disease, hypertension, paroxysmal atrial fibrillation and chronic kidney disease presents with asymptomatic bradycardia. Examination was
Bachour K +4 more
europepmc +2 more sources
Deep Recurrent Learning for Heart Sounds Segmentation based on Instantaneous Frequency Features
In this work, a novel stack of well-known technologies is presented to determine an automatic method to segment the heart sounds in a phonocardiogram (PCG).
Alvaro Joaquin Gaona, Pedro David Arini
doaj +1 more source

