A systematic survey of computer-aided diagnosis in medicine: Past and present developments
J Yanase, E Triantaphyllou - Expert Systems with Applications, 2019 - Elsevier
Computer-aided diagnosis (CAD) in medicine is the result of a large amount of effort
expended in the interface of medicine and computer science. As some CAD systems in …
expended in the interface of medicine and computer science. As some CAD systems in …
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 …
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 …
Logistic regression-HSMM-based heart sound segmentation
DB Springer, L Tarassenko… - IEEE transactions on …, 2015 - ieeexplore.ieee.org
The identification of the exact positions of the first and second heart sounds within a
phonocardiogram (PCG), or heart sound segmentation, is an essential step in the automatic …
phonocardiogram (PCG), or heart sound segmentation, is an essential step in the automatic …
Ensemble of feature-based and deep learning-based classifiers for detection of abnormal heart sounds
The goal of the 2016 PhysioNet/CinC Challenge is the development of an algorithm to
classify normal/abnormal heart sounds. A total of 124 time-frequency features were …
classify normal/abnormal heart sounds. A total of 124 time-frequency features were …
Heartbeat sound signal classification using deep learning
Presently, most deaths are caused by heart disease. To overcome this situation, heartbeat
sound analysis is a convenient way to diagnose heart disease. Heartbeat sound …
sound analysis is a convenient way to diagnose heart disease. Heartbeat sound …
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 …
Radar-based heart sound detection
This paper introduces heart sound detection by radar systems, which enables touch-free
and continuous monitoring of heart sounds. The proposed measurement principle entails …
and continuous monitoring of heart sounds. The proposed measurement principle entails …
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 …
Anomalous sound event detection: A survey of machine learning based methods and applications
With the development of multi-modal man-machine interaction, audio signal analysis is
gaining importance in a field traditionally dominated by video. In particular, anomalous …
gaining importance in a field traditionally dominated by video. In particular, anomalous …