The electronic stethoscope

S Leng, RS Tan, KTC Chai, C Wang, D Ghista… - Biomedical engineering …, 2015 - Springer
Most heart diseases are associated with and reflected by the sounds that the heart
produces. Heart auscultation, defined as listening to the heart sound, has been a very …

Feature extraction and classification of heart sound using 1D convolutional neural networks

F Li, M Liu, Y Zhao, L Kong, L Dong, X Liu… - EURASIP Journal on …, 2019 - Springer
We proposed a one-dimensional convolutional neural network (CNN) model, which divides
heart sound signals into normal and abnormal directly independent of ECG. The deep …

Heart sound reproduction based on neural network classification of cardiac valve disorders using wavelet transforms of PCG signals

S Babaei, A Geranmayeh - Computers in biology and medicine, 2009 - Elsevier
Cardiac auscultatory proficiency of physicians is crucial for accurate diagnosis of many heart
diseases. Plenty of diverse abnormal heart sounds with identical main specifications and …

Heart murmur classification with feature selection

D Kumar, P Carvalho, M Antunes… - … Conference of the …, 2010 - ieeexplore.ieee.org
Heart sounds entail crucial heart function information. In conditions of heart abnormalities,
such as valve dysfunctions and rapid blood flow, additional sounds are heard in regular …

Detection and classification of cardiac murmurs using segmentation techniques and artificial neural networks

SL Strunic, F Rios-Gutiérrez… - … IEEE symposium on …, 2007 - ieeexplore.ieee.org
In this paper we present the implementation of a diagnostic system based on artificial neural
networks (ANN) that can be used in the detection and classification of heart murmurs …

Recognition and classification of cardiac murmurs using ANN and segmentation

F Rios-Gutierrez, R Alba-Flores… - … 2012, 22nd International …, 2012 - ieeexplore.ieee.org
A diagnostic system based on Artificial Neural Networks (ANN) is implemented as a detector
and classifier of heart murmurs. Segmentation and alignment algorithms serve as important …

Wavelet bispectrum-based nonlinear features for cardiac murmur identification

D Kumar, R Jadeja, S Pande - Cogent Engineering, 2018 - Taylor & Francis
Cardiac or heart sound ca. rries important diagnosis information for several cardiovascular
diseases, such as natural or prosthetic valve dysfunction and heart failure. Hence …

Automatic heart sound analysis for cardiovascular disease assessment

D Kumar - 2014 - search.proquest.com
Cardiovascular diseases (CVDs) are the most deadly diseases worldwide leaving behind
diabetes and cancer. Being connected to ageing population above 65 years is prone to …

[PDF][PDF] 基于特征选择和降维的心音信号识别的研究

李海霞, 朱慧博, 张施琴, 毛凌锋 - 计算机与数字工程, 2022 - jsj.journal.cssc709.net
摘要为提高心音信号识别的高效性, 论文将特征选择后的参数进行降维处理,
得到计算成本降低且识别率满足需求的心音识别模型. 首先使用小波包分解和功率谱估计计算 …

[引用][C] 改进的高斯混合模型在心音信号分类识别中应用

张文英, 郭兴明, 翁渐 - 振动与冲击, 2014