[HTML][HTML] The electronic stethoscope
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 …
produces. Heart auscultation, defined as listening to the heart sound, has been a very …
Algorithms for automatic analysis and classification of heart sounds–a systematic review
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 …
world. Proper investigation of the abnormalities in heart sounds is known to provide vital …
An open access database for the evaluation of heart sound algorithms
In the past few decades, analysis of heart sound signals (ie the phonocardiogram or PCG),
especially for automated heart sound segmentation and classification, has been widely …
especially for automated heart sound segmentation and classification, has been widely …
Heart sounds classification using a novel 1-D convolutional neural network with extremely low parameter consumption
Automatic heart sound auscultation is one of the common used techniques for
cardiovascular diseases detection. In this paper, a novel heart sound classification method …
cardiovascular diseases detection. In this paper, a novel heart sound classification method …
Automated detection of heart valve diseases using chirplet transform and multiclass composite classifier with PCG signals
Heart valve diseases (HVDs) are a group of cardiovascular abnormalities, and the causes of
HVDs are blood clots, congestive heart failure, stroke, and sudden cardiac death, if not …
HVDs are blood clots, congestive heart failure, stroke, and sudden cardiac death, if not …
Heart sound classification based on scaled spectrogram and tensor decomposition
W Zhang, J Han, S Deng - Expert Systems with Applications, 2017 - Elsevier
Heart sound signal analysis is an effective and convenient method for the preliminary
diagnosis of heart disease. However, automatic heart sound classification is still a …
diagnosis of heart disease. However, automatic heart sound classification is still a …
Recognition of normal–abnormal phonocardiographic signals using deep convolutional neural networks and mel-frequency spectral coefficients
V Maknickas, A Maknickas - Physiological measurement, 2017 - iopscience.iop.org
Intensive care unit patients are heavily monitored, and several clinically-relevant parameters
are routinely extracted from high resolution signals. Objective: The goal of the 2016 …
are routinely extracted from high resolution signals. Objective: The goal of the 2016 …
Recent advances in heart sound analysis
GD Clifford, C Liu, BE Moody, JM Roig… - Physiological …, 2017 - vbn.aau.dk
Heart sounds have been widely studied and have been demonstrated to have value for
detecting pathologies in clinical applications. Over the last few decades, the use of heart …
detecting pathologies in clinical applications. Over the last few decades, the use of heart …
Automatic diagnosis of multiple cardiac diseases from PCG signals using convolutional neural network
Background and objectives Cardiovascular diseases are critical diseases and need to be
diagnosed as early as possible. There is a lack of medical professionals in remote areas to …
diagnosed as early as possible. There is a lack of medical professionals in remote areas to …
A robust deep learning framework based on spectrograms for heart sound classification
Heart sound analysis plays an important role in early detecting heart disease. However,
manual detection requires doctors with extensive clinical experience, which increases …
manual detection requires doctors with extensive clinical experience, which increases …