Algorithms for automatic analysis and classification of heart sounds–a systematic review

AK Dwivedi, SA Imtiaz, E Rodriguez-Villegas - IEEE Access, 2018 - ieeexplore.ieee.org
Cardiovascular diseases currently pose the highest threat to human health around the
world. Proper investigation of the abnormalities in heart sounds is known to provide vital …

Trends in fetal monitoring through phonocardiography: Challenges and future directions

PC Adithya, R Sankar, WA Moreno, S Hart - Biomedical Signal Processing …, 2017 - Elsevier
Monitoring the well-being of a fetus through Fetal Phonocardiography (FPCG) has been
occurring for more than a century. Throughout history, there have been continuous …

Synthetic PPG signal generation to improve coronary artery disease classification: Study with physical model of cardiovascular system

O Mazumder, R Banerjee, D Roy… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
This paper presents a novel approach of generating synthetic Photoplethysmogram (PPG)
data using a physical model of the cardiovascular system to improve classifier performance …

Synthetic PPG generation from haemodynamic model with baroreflex autoregulation: a Digital twin of cardiovascular system

O Mazumder, D Roy, S Bhattacharya… - 2019 41st Annual …, 2019 - ieeexplore.ieee.org
Synthetic data generation has recently emerged as a substitution technique for handling the
problem of bulk data needed in training machine learning algorithms. Healthcare, primarily …

Synthesis of normal heart sounds using generative adversarial networks and empirical wavelet transform

P Narváez, WS Percybrooks - Applied Sciences, 2020 - mdpi.com
Currently, there are many works in the literature focused on the analysis of heart sounds,
specifically on the development of intelligent systems for the classification of normal and …

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

B Zhu, Z Zhou, S Yu, X Liang, Y Xie, Q Sun - Electronics, 2024 - mdpi.com
The phonocardiogram (PCG) is a crucial tool for the early detection, continuous monitoring,
accurate diagnosis, and efficient management of cardiovascular diseases. It has the …

The comprehensive analysis of the determination of wavelet function-level pair for the decomposition and reconstruction of artificial S1 heart signals by using multi …

A Polat - Biomedical Signal Processing and Control, 2021 - Elsevier
Two major sounds of the normal heart sound like “lub dub”. The “lub” is the first heart sound,
commonly termed S1 results from mitral (M1) and tricuspid (T1) valve closure at the start of …

LabVIEW-Enabled Synthetic Signal for Empowering Fetal-Maternal Healthcare

AB Queyam, R Kumar, RK Ratnesh… - ECS Journal of Solid …, 2024 - iopscience.iop.org
Biomedical signal processing has advanced to the point that tools and methods are now
available to doctors to diagnose and track medical conditions connected to pregnancy …

Phonocardiogram: A robust algorithm for generating synthetic signals and comparison with real life ones

PT Kapen, M Youssoufa, SUK Kouam, M Foutse… - … Signal Processing and …, 2020 - Elsevier
The work presented in this paper aims to develop and implement a robust algorithm for
generating synthetic phonocardiogram (PCG) signals based on characteristics obtained …

Practical microcontroller-based simulator of graphical heart sounds with disorders

ME Karar - 2017 Intl Conf on Advanced Control Circuits …, 2017 - ieeexplore.ieee.org
Finding volunteer patients and/or getting ethical approval for experimental studies on human
participants are generally serious problems in the field of biomedical engineering …