A framework for automatic heart sound analysis without segmentation

S Yuenyong, A Nishihara, W Kongprawechnon… - Biomedical engineering …, 2011 - Springer
Background A new framework for heart sound analysis is proposed. One of the most difficult
processes in heart sound analysis is segmentation, due to interference form murmurs …

Multi-centroid diastolic duration distribution based HSMM for heart sound segmentation

AP Kamson, LN Sharma, S Dandapat - Biomedical signal processing and …, 2019 - Elsevier
This paper presents a multi-centroid diastolic duration model for the hidden semi-Markov
model (HSMM) based heart sound segmentation. The centroids are calculated by …

Development of a multi-channel wearable heart sound visualization system

B Guo, H Tang, S Xia, M Wang, Y Hu… - Journal of Personalized …, 2022 - mdpi.com
A multi-channel wearable heart sound visualization system based on novel heart sound
sensors for imaging cardiac acoustic maps was developed and designed. The cardiac …

Development of a pediatric cardiac computer aided auscultation decision support system

E Pretorius, ML Cronje… - 2010 Annual International …, 2010 - ieeexplore.ieee.org
Developing countries have a large population of children living with undiagnosed heart
murmurs. As a result of an accompanying skills shortage, most of these children will not get …

Automatic classification of systolic heart murmurs

M Markaki, I Germanakis… - 2013 IEEE International …, 2013 - ieeexplore.ieee.org
This paper describes a system for discriminating innocent from pathologic systolic heart
murmurs in children based on auscultation recordings. For sound signal analysis the use of …

An incremental algorithm based on multichannel non-negative matrix partial co-factorization for ambient denoising in auscultation

JDLT Cruz, FJC Quesada, D Martínez-Muñoz… - Applied Acoustics, 2021 - Elsevier
One of the major current limitations in the diagnosis derived from auscultation remains the
ambient noise surrounding the subject, which prevents successful auscultation. Therefore, it …

Can heart sound denoising be beneficial in phonocardiogram classification tasksƒ

MH Asmare, F Woldehanna, L Janssens… - 2021 43rd Annual …, 2021 - ieeexplore.ieee.org
The purpose of computer-aided diagnosis (CAD) systems is to improve the detection of
diseases in a shorter time and with reduced subjectivity. A robust system frequently requires …

[PDF][PDF] Recognition System for Diagnosing Pneumonia and Bronchitis Using Children's Breathing Sounds Based on Transfer Learning

J Shi, S Chen, B Yu, Y Ren, G Wang… - Intelligent Automation & …, 2023 - cdn.techscience.cn
Respiratory infections in children increase the risk of fatal lung disease, making effective
identification and analysis of breath sounds essential. However, most studies have focused …

Research and application of heart sound alignment and descriptor

BB Fu, XL Fei, BD Sekar, MC Dong - Computers in biology and medicine, 2013 - Elsevier
The research and application of heart sound (HS) analysis for cardiovascular disease (CVD)
diagnosis has attracted more attention recently. Unlike other relevant HS analysis research …

[PDF][PDF] A new chirp–based wavelet for heart sounds time–frequency analysis

A Djebbari, F Bereksi-Reguig - Int J Commun Antenna …, 2011 - researchgate.net
The present paper investigates the ability of a chirplet model to be considered as a pattern
generating a mother wavelet for time–scale analysis of heart sounds. The choice of the …