Results 51 to 60 of about 2,160 (180)
Model Identifkasi Sinyal Jantung Pertama (S1) dan Sinyal Jantung Kedua (S2) pada Janin
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
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
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
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
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
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
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
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
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
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

