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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 sounds classification using a novel 1-D convolutional neural network with extremely low parameter consumption
B **ao, Y Xu, X Bi, J Zhang, X Ma - Neurocomputing, 2020 - Elsevier
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 …
Machine learning based heart disease diagnosis using non-invasive methods: A review
N Kumar, D Kumar - Journal of Physics: Conference Series, 2021 - iopscience.iop.org
Heart disease is the most dangerous disease among all the non-communicable diseases.
Annually 17900 thousand of peoples die due to heart problems. Cardiovascular disease …
Annually 17900 thousand of peoples die due to heart problems. Cardiovascular disease …
An optimal approach for heart sound classification using grid search in hyperparameter optimization of machine learning
Heart-sound auscultation is one of the most widely used approaches for detecting
cardiovascular disorders. Diagnosing abnormalities of heart sound using a stethoscope …
cardiovascular disorders. Diagnosing abnormalities of heart sound using a stethoscope …
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 …
Effective heart sound segmentation and murmur classification using empirical wavelet transform and instantaneous phase for electronic stethoscope
Accurate measurement of heart sound and murmur parameters is of great importance in the
automated analysis of phonocardiogram (PCG) signals. In this paper, we propose a novel …
automated analysis of phonocardiogram (PCG) signals. In this paper, we propose a novel …
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 …
Heart sound classification based on improved mel-frequency spectral coefficients and deep residual learning
F Li, Z Zhang, L Wang, W Liu - Frontiers in Physiology, 2022 - frontiersin.org
Heart sound classification plays a critical role in the early diagnosis of cardiovascular
diseases. Although there have been many advances in heart sound classification in the last …
diseases. Although there have been many advances in heart sound classification in the last …
Heart sound classification based on scaled spectrogram and partial least squares regression
W Zhang, J Han, S Deng - Biomedical Signal Processing and Control, 2017 - Elsevier
Phonocardiogram (PCG) signal analysis is an effective and convenient method for the
preliminary diagnosis of heart disease. In this study, a scaled spectrogram and partial least …
preliminary diagnosis of heart disease. In this study, a scaled spectrogram and partial least …
Short PCG classification based on deep learning
Abstract The World Health Organization reported that, every year, 17.7 million people pass
away due to heart-related diseases. So, early investigation of the heart is very essential …
away due to heart-related diseases. So, early investigation of the heart is very essential …