Results 61 to 70 of about 7,978 (286)

Time-Frequency Analysis, Denoising, Compression, Segmentation, and Classification of PCG Signals

open access: yesIEEE Access, 2020
Phonocardigraphy (PCG) is the graphical representation of heart sounds. The PCG signal contains useful information about the functionality and the condition of the heart. It also provides an early indication of potential cardiac abnormalities. Extracting
Tanzil Hoque Chowdhury   +2 more
doaj   +1 more source

Phonocardiogram Classification Using 1-Dimensional Inception Time Convolutional Neural Networks

open access: yes2022 Computing in Cardiology (CinC), 2022
Murmurs are sounds caused by turbulent blood flow that are often the first sign of structural heart disease. These sounds are detected by auscultating the heart using a stethoscope, or more recently by a phonocardiogram (PCG).
Bjørn-Jostein Singstad   +5 more
semanticscholar   +1 more source

Review of Phonocardiogram Signal Analysis: Insights from the PhysioNet/CinC Challenge 2016 Database

open access: yesElectronics
The phonocardiogram (PCG) is a crucial tool for the early detection, continuous monitoring, accurate diagnosis, and efficient management of cardiovascular diseases.
Bing Zhu   +5 more
semanticscholar   +1 more source

Detection of the valvular split within the second heart sound using the reassigned smoothed pseudo Wigner–Ville distribution [PDF]

open access: yes, 2013
BACKGROUND: In this paper, we developed a novel algorithm to detect the valvular split between the aortic and pulmonary components in the second heart sound which is a valuable medical information.
Abdelghani Djebbari   +1 more
core   +1 more source

Cardiorespiratory system monitoring using a developed acoustic sensor

open access: yesHealthcare Technology Letters, 2018
This Letter proposes a wireless acoustic sensor for monitoring heartbeat and respiration rate based on phonocardiogram (PCG). The developed sensor comprises a processor, a transceiver which operates at industrial, scientific and medical band and the ...
Reza Abbasi-Kesbi   +2 more
doaj   +1 more source

Heart Sound Classification Using Wavelet Analysis Approaches and Ensemble of Deep Learning Models

open access: yesApplied Sciences, 2023
Analyzing the condition and function of the heart is very important because cardiovascular diseases (CVDs) are responsible for high mortality rates worldwide and can lead to strokes and heart attacks; thus, early diagnosis and treatment are important ...
Jin-A Lee, Keun-Chang Kwak
doaj   +1 more source

Denoising of Fetal Phonocardiogram Signal by Wavelet Transformation [PDF]

open access: yesE3S Web of Conferences, 2020
Auscultation is still one of the most basic analytical tools used to determine the fetal heart’s functional state as well as the first fetal well-being measure. It is called fetal phonocardiography (fPCG) in its modern form.
Suryani Faradisa Irmalia   +3 more
doaj   +1 more source

Frequency shifting approach towards textual transcription of heartbeat sounds [PDF]

open access: yes, 2011
Auscultation is an approach for diagnosing many cardiovascular problems. Automatic analysis of heartbeat sounds and extraction of its audio features can assist physicians towards diagnosing diseases.
Arvin, Farshad   +2 more
core   +1 more source

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

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

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