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 …
Heart sound classification based on improved MFCC features and convolutional recurrent neural networks
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 …
especially for small primary health care clinics. Despite that much progress has been made …
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 …
A critical review of heart sound signal segmentation algorithms
This paper discusses four heart sound segmentation (HSS) methods: Wavelet transform,
Fractal decomposition, Hilbert Transform, and Shannon Energy Envelogram, in order to …
Fractal decomposition, Hilbert Transform, and Shannon Energy Envelogram, in order to …
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 …
Deep CardioSound-An Ensembled Deep Learning Model for Heart Sound MultiLabelling
Heart sound diagnosis and classification play an essential role in detecting cardiovascular
disorders, especially when the remote diagnosis becomes standard clinical practice. Most of …
disorders, especially when the remote diagnosis becomes standard clinical practice. Most of …
Heart sound segmentation—An event detection approach using deep recurrent neural networks
E Messner, M Zöhrer, F Pernkopf - IEEE transactions on …, 2018 - ieeexplore.ieee.org
Objective: In this paper, we accurately detect the state-sequence first heart sound (S1)-
systole-second heart sound (S2)-diastole, ie, the positions of S1 and S2, in heart sound …
systole-second heart sound (S2)-diastole, ie, the positions of S1 and S2, in heart sound …
Towards heart sound classification without segmentation via autocorrelation feature and diffusion maps
SW Deng, JQ Han - Future Generation Computer Systems, 2016 - Elsevier
Heart sound classification, used for the automatic heart sound auscultation and cardiac
monitoring, plays an important role in primary health center and home care. However, one of …
monitoring, plays an important role in primary health center and home care. However, one of …
Low‐Intensity Sensitive and High Stability Flexible Heart Sound Sensor Enabled by Hybrid Near‐Field/Far‐Field Electrospinning
Low‐cost and wearable heart sound sensors can facilitate early detection and monitoring of
cardiovascular and respiratory diseases. Such sensors are currently limited by either the …
cardiovascular and respiratory diseases. Such sensors are currently limited by either the …