Results 51 to 60 of about 2,160 (180)

Model Identifkasi Sinyal Jantung Pertama (S1) dan Sinyal Jantung Kedua (S2) pada Janin

open access: yesJurnal Rekayasa Elektrika, 2020
Process of identifying fetal heart sound signals is imperative in recognizing congenital heart function that caused by many factors, such as hereditary factors and food intake of pregnant mothers.
Ira Puspasari   +3 more
doaj   +1 more source

Impact of Blood Pressure Across the Life Course on Arterial Stiffness in Midlife: The Mediating Role of Metabolic Factors

open access: yesMedComm, Volume 6, Issue 11, November 2025.
This 30‐year cohort study demonstrates that elevated blood pressure (BP) since childhood contributes to arterial stiffness in midlife, with adult BP showing the strongest association. The triglyceride–glucose index partially mediates this relationship, especially in males. These findings highlight the importance of early BP control and metabolic health
Yang Wang   +25 more
wiley   +1 more source

Non-Invasive Detection of Coronary Artery Disease Using Wearable Vest with Integrated Phonocardiogram Sensors

open access: yesJournal of Vascular Diseases
Background: Cardiovascular disease (CVD) remains the leading cause of death and disability worldwide. Among its subtypes, coronary artery disease (CAD) is the most common and often develops silently, without noticeable symptoms.
Matthew Fynn   +5 more
doaj   +1 more source

Robust optimization of convolutional neural networks with a uniform experiment design method: a case of phonocardiogram testing in patients with heart diseases

open access: yesBMC Bioinformatics, 2021
Background Heart sound measurement is crucial for analyzing and diagnosing patients with heart diseases. This study employed phonocardiogram signals as the input signal for heart disease analysis due to the accessibility of the respective method.
Wen-Hsien Ho   +7 more
doaj   +1 more source

Database for the interpretation of phonocardiograms

open access: yesJournal of Physics: Conference Series, 2019
Abstract Using LabVIEW software, we built a set of images corresponding to cardiac sounds associated to diagnosed cardiac diseases. This constitutes an image database which facilitates phonocardiograms interpretation, also we made the correlation with diseases and the possible causes.
S J Granados   +6 more
openaire   +1 more source

Carotid and regional arterial stiffness and dementia‐related imaging biomarkers in the Multi‐Ethnic Study of Atherosclerosis (MESA)

open access: yesAlzheimer's &Dementia, Volume 21, Issue 10, October 2025.
Abstract INTRODUCTION Arterial stiffness measured within various arterial beds may be differentially associated with neuroimaging biomarkers of dementia. METHODS We related carotid and regional (cardio‐ankle vascular index [CAVI] and heart‐ankle pulse wave velocity [haPWV]) arterial stiffness measures to biomarkers (gray matter volume [GMV], white ...
Sheina Emrani   +18 more
wiley   +1 more source

Detection of Valvular Heart Diseases From PCG Signals Using Machine and Deep Learning Models: A Review

open access: yesIEEE Access
Artificial intelligence (AI) predictions are widely used to address challenges in the heart health sector, such as providing clinical decision support. Early detection of valvular heart disease (VHD) is effective in reducing critical cardiac problems and
Ayappasamy Kannan   +3 more
doaj   +1 more source

PhonoSys: Mobile Phonocardiography Diagnostic System for Newborns

open access: yesEAI Endorsed Transactions on Mobile Communications and Applications, 2016
Heart murmurs have been found to be a life threatening condition for the newborns who are born with cardiac abnormalities. The first sign of pathological changes of heart valves appears in phonocardiogram which contains very useful information about ...
Amir Mohammad Amiri   +3 more
doaj   +1 more source

Acoustic Cardiography (ACG) for Left Ventricular Ejection Time (LVET) Monitoring in Preeclampsia Risk Prediction

open access: yesClinical Cardiology, Volume 48, Issue 9, September 2025.
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.
Chunping Tang   +6 more
wiley   +1 more source

Application of Wavelet Transformation and Artificial Intelligence Techniques in Healthcare: A Systemic Review

open access: yesWIREs Data Mining and Knowledge Discovery, Volume 15, Issue 2, June 2025.
ABSTRACT The integration of wavelet transformation and artificial intelligence techniques has demonstrated significant potential in healthcare applications. Wavelet analysis enables multi‐scale signal decomposition and feature extraction that, when combined with machine and deep learning approaches, enhance the accuracy and efficiency of medical data ...
Samiul Based Shuvo   +8 more
wiley   +1 more source

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