Results 71 to 80 of about 2,160 (180)

A Comprehensive Overview of Heart Sound Analysis Using Machine Learning Methods

IEEE Access
Cardiovascular 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, Nilam Nur Amir Sjarif   +1 more
doaj   +1 more source

Automated System for the Detection of Heart Anomalies Using Phonocardiograms: A Systematic Review

IEEE Access
Phonocardiogram (PCG) signals generated by the heart contain information about heart conditions. This review examines how PCG analysis identifies and diagnoses heart issues.
Anjan Gudigar, U. Raghavendra, M. Maithri, Jyothi Samanth, Mahesh Anil Inamdar, V. Vidhya, Jahmunah Vicnesh, Mukund A. Prabhu, Ru-San Tan, Chai Hong Yeong, Filippo Molinari, U. R. Acharya   +11 more
doaj   +1 more source

A Deep-Learning Approach to Heart Sound Classification Based on Combined Time-Frequency Representations

Technologies
Worldwide, 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, Miguel A. Alonso-Arévalo, Eloísa García-Canseco, Roilhi F. Ibarra-Hernández, Roberto Conte-Galván   +4 more
doaj   +1 more source

Design and Fabrication of a Chitosan-Based Diaphragm Digital Stethoscope for Heart Sound Acquisition

Micromachines
Cardiac auscultation remains a widely used non-invasive method for assessing cardiac function; however, conventional acoustic stethoscopes are limited by subjective interpretation and lack of digital signal-handling capabilities.
María Claudia Rivas Ebner, Seong-Wan Kim, Giyeon Yu, Emmanuel Ackah, Hyun-Woo Jeong, Kyung Min Byun, Young-Seek Seok, Seung Ho Choi   +7 more
doaj   +1 more source

A Comparative Analysis of Machine Learning and Deep Learning Approaches for Phonocardiogram Classification Using Dataset Integration

IEEE Access
The worldwide increase in cardiovascular diseases and related deaths necessitates advanced, non-invasive diagnostic methods that allow for timely detection and intervention to mitigate the risk of death.
M. Kalimuthu, C. Hemanth
doaj   +1 more source

Fog-Enabled Multimodal Chest-Worn Device for Systolic Blood Pressure Monitoring

IEEE Access
This paper presents a Fog-enabled chest-worn device for estimating systolic blood pressure (SBP). The device integrates two sensors that simultaneously detect the phonocardiogram (PCG), ballistocardiogram (BCG), and seismocardiogram (SCG) from a single ...
Pamela Salas, Jose-Manuel Mejia-Munoz, Rafael Gonzalez-Landaeta   +2 more
doaj   +1 more source

Ensemble Voting Method for Phonocardiogram Heart Signal Classification Using FFT Features

Journal of Applied Informatics and Computing
Heart disease is still one of the leading causes of death worldwide, hence the need for effective diagnostic tools. Phonocardiogram (PCG) signals have been explored as a complementary approach to electrocardiogram (ECG) to detect cardiac abnormalities ...
Adisaputra Zidha Noorizki, Heri Pratikno, Weny Indah Kusumawati   +2 more
doaj   +1 more source

PHONOCARDIOGRAM BASED DIAGNOSTIC SYSTEM

, 2015
A Phonocardiogram or PCG is a plot of high fidelity recording of the sounds and murmurs made by the heart with the help of the machine called phonocardiograph. It has developed continuously to perform an important role in the proper and accurate diagnosis of the defects of the heart.
openaire   +2 more sources

A review on deep learning methods for heart sound signal analysis

Frontiers in Artificial Intelligence
IntroductionApplication of Deep Learning (DL) methods is being increasingly appreciated by researchers from the biomedical engineering domain in which heart sound analysis is an important topic of study.
Elaheh Partovi, Ankica Babic, Ankica Babic, Arash Gharehbaghi   +3 more
doaj   +1 more source

THE PHONOCARDIOGRAM IN ENDOMYOCARDIAL FIBROSIS [PDF]

Heart, 1960
K, Somers, A W, Williams
openaire   +2 more sources