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Abnormal heart sound classification using phonocardiography signals

Smart Health, 2021
An intelligent support system is needed to assist in the identification of abnormalities of a human heart. The integration of signal processing with machine learning techniques is a new research trend in the studies of heart sound analysis.
M. G. M. Milani   +3 more
semanticscholar   +1 more source

Heart sound classification based on improved MFCC features and convolutional recurrent neural networks

Neural Networks, 2020
Heart sound classification plays a vital role in the early detection of cardiovascular disorders, especially for small primary health care clinics. Despite that much progress has been made for heart sound classification in recent years, most of them are ...
M. Deng   +5 more
semanticscholar   +1 more source

Deep learning-based computer-aided heart sound analysis in children with left-to-right shunt congenital heart disease.

International Journal of Cardiology, 2021
OBJECTIVE The purpose of this study was to explore a new algorithm model capable of leverage deep learning to screen and diagnose specific types of left-to-right shunt congenital heart disease (CHD) in children.
Jia Liu   +5 more
semanticscholar   +1 more source

Heart sound classification with signal instant energy and stacked autoencoder network

Biomedical Signal Processing and Control, 2021
Recently, different signal processing and classification methods have been tried to increase the success of classification for a heart sound analysis. For this purpose, in many studies, S1 and S2 segments of heart sounds were obtained by using methods ...
Omer Deperlioglu
semanticscholar   +1 more source

Artificial intelligence for heart sound classification: A review

Expert Syst. J. Knowl. Eng.
Heart sound signal analysis is very important for the early identification and treatment of cardiovascular illness. With rapid advancements in science and technology, artificial intelligence technologies are providing tremendous opportunities to enhance ...
Junxin Chen   +4 more
semanticscholar   +1 more source

Deterministic Compressed Sensing of heart sound signals

IEEE International Symposium on Medical Measurements and Applications, 2021
This paper proposes the use of the Deterministic Binary Block Diagonal (DBBD) matrix as sensing matrix for compressed sensing of heart sound signals. The use of a deterministic matrix has the advantage of not requiring the generation of random numbers in
P. Daponte   +4 more
semanticscholar   +1 more source

Automated detection of abnormal heart sound signals using Fano-factor constrained tunable quality wavelet transform

, 2021
Manual interpretation of heart sounds is insensitive and prone to subjectivity. Automated diagnosis systems incorporating artificial intelligence and advanced signal processing tools can potentially increase the sensitivity of disease detection and ...
N. Sawant   +3 more
semanticscholar   +1 more source

The maverick heart sound

Heart, 2016
Clinical introduction An asymptomatic 29-year-old woman presented for prenatal counselling. She had a history of a heart murmur since childhood and a previous echocardiogram suggesting ‘enlargement of the heart’. Physical exam revealed normal jugular venous pressure and contour. Precordial palpation was unremarkable.
Chance M, Witt   +2 more
openaire   +2 more sources

Automatic heart sound classification from segmented/unsegmented phonocardiogram signals using time and frequency features

Physiological Measurement, 2020
Objective: Heart abnormality detection using heart sound signals (phonocardiogram (PCG)) has been an active research area for the last few decades.
Faiq Ahmad Khan   +2 more
semanticscholar   +1 more source

Heart Sounds

New England Journal of Medicine, 2006
K Sembulingam, Prema Sembulingam
  +5 more sources

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