Results 71 to 80 of about 5,008 (218)
WIREs 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
Robust Denoising of Phonocardiogram Signals Using Time-Frequency Analysis and U-Nets
IEEE Access, 2023 Cardiovascular diseases are the cause of many deaths worldwide every day. Automated cardiac auscultation is a promising diagnosis method; however, one of its main disadvantages is that it is prone to receiving too much noise during sound recording, which
Cristobal Gonzalez-Rodriguez +2 more
doaj +1 more source
Journal of Clinical Periodontology, Volume 52, Issue 3, Page 363-374, March 2025.ABSTRACT Aim To investigate the effect of periodontitis on the long‐term changes of the cardio‐ankle vascular index (CAVI). Materials and Methods A 10‐year retrospective cohort study of 3842 Thai participants (range 25–76 years) with normal CAVI at the study initiation was undertaken.
Bantita Kanpittaya +6 more
wiley +1 more source
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
Emerging Wearable Acoustic Sensing Technologies
Advanced Science, Volume 12, Issue 6, February 10, 2025.This review summarizes recent advancements in wearable acoustic devices developed through interdisciplinary and bionic approaches. These applications include bio‐acoustic detection, ultrasound energy supply, and ultrasonic diagnosis. It highlights challenges and future directions, aiming to promote their use in the human body and explore integration ...
Tao Liu +7 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
doaj +1 more source
Advancements in wearable heart sounds devices for the monitoring of cardiovascular diseases
SmartMat, Volume 6, Issue 1, February 2025.This article presents the recent advancements in wearable and flexible heart sound devices, focusing on their mechanics, types of sensors, flexible sensing materials, and prospective denoising techniques. Furthermore, the potential applications of heart sounds for the monitoring of cardiovascular diseases are reviewed as well along with its future ...
Rafi u Shan Ahmad +5 more
wiley +1 more source
Phonocardiogram segmentation by using an hybrid RBF-HMM model [PDF]
, 2007 This paper is concerned to the segmentation of heart sounds by using Radial-Basis Functions for acoustical modelling, combined with a Hidden Markov Model for heart sounds sequence modelling.
Cardoso, Manuel J., Lima, C. S.
core
Heart Sound Segmentation using Bidirectional LSTMs with Attention [PDF]
, 2020 This paper proposes a novel framework for the segmentation of phonocardiogram (PCG) signals into heart states, exploiting the temporal evolution of the PCG as well as considering the salient information that it provides for the detection of the heart state.
arxiv +1 more source
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