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 …
world. Proper investigation of the abnormalities in heart sounds is known to provide vital …
Recent advances in heart sound analysis
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 …
The 'Digital Twin'to enable the vision of precision cardiology
J Corral-Acero, F Margara, M Marciniak… - European heart …, 2020 - academic.oup.com
Providing therapies tailored to each patient is the vision of precision medicine, enabled by
the increasing ability to capture extensive data about individual patients. In this position …
the increasing ability to capture extensive data about individual patients. In this position …
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 …
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 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 …
Phonocardiographic sensing using deep learning for abnormal heartbeat detection
Deep learning-based cardiac auscultation is of significant interest to the healthcare
community as it can help reducing the burden of manual auscultation with automated …
community as it can help reducing the burden of manual auscultation with automated …
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 …
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 …
Cross-wavelet assisted convolution neural network (AlexNet) approach for phonocardiogram signals classification
The exponential growth of a multitude of cardiovascular diseases, leading to life frightening
conditions, makes fast and accurate computer-aided techniques that are relevant and …
conditions, makes fast and accurate computer-aided techniques that are relevant and …