Results 41 to 50 of about 2,256 (181)
Automated Acute Myocardial Infarction Detection Using Machine Learning From Phonocardiogram
IEEE AccessEarly detection of myocardial infarction (MI) is critical due to rapid heart muscle deterioration. Current diagnosis relies on electrocardiogram (ECG) and troponin tests, but troponin tests are accurate only after 12-24 hours.
Ira Puspasari +6 more
doaj +1 more source
Model Identifkasi Sinyal Jantung Pertama (S1) dan Sinyal Jantung Kedua (S2) pada Janin
Jurnal 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
Internet of Medical Things‐Driven Deep Learning Approach for Automated Heart Sound Classification
IET Biometrics, Volume 2026, Issue 1, 2026.The Internet of Medical Things (IoMT) has emerged as a transformative force in healthcare, enabling the development of innovative and noninvasive diagnostic tools that leverage connected technologies. This research focuses on the application of IoMT in conjunction with deep learning techniques to detect and classify heart diseases through the analysis ...
Muhammad Sajid +8 more
wiley +1 more source
Segmentation of Phonocardiograms Signal
International Journal of Engineering Research and Advanced Technology, 2018 Heart sound is a kind of bio-sound, mainly through the media pass sound signals. The measures of the heart sound signals involved in acoustics, fluid mechanics research. when added some noise for selecting pure PCG signal by using adaptive white Gaussian noise. Than denoise the PCG signal by using Discrete Wavelet transform and decomposes a signal into
Jamuna Kaushik, Abhishek Misal
openaire +2 more sources
A Comprehensive Overview of Heart Sound Analysis Using Machine Learning Methods
IEEE AccessCardiovascular diseases (CVDs) are a prevalent cause of mortality worldwide, and the traditional cardiovascular disease diagnosis has relied heavily on stethoscope-based heart sound auscultations.
Motaz Faroq A. Ben Hamza +1 more
doaj +1 more source
MedComm, 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
Automated System for the Detection of Heart Anomalies Using Phonocardiograms: A Systematic Review
IEEE AccessPhonocardiogram (PCG) signals generated by the heart contain information about heart conditions. This review examines how PCG analysis identifies and diagnoses heart issues.
Anjan Gudigar +11 more
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BMC 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
Alzheimer'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
TechnologiesWorldwide, heart disease is the leading cause of mortality. Cardiac auscultation, when conducted by a trained professional, is a non-invasive, cost-effective, and readily available method for the initial assessment of cardiac health.
Leonel Orozco-Reyes +4 more
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