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 …

Recent advances in heart sound analysis

GD Clifford, C Liu, B Moody, J Millet… - Physiological …, 2017‏ - pmc.ncbi.nlm.nih.gov
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 …

Convolutional and recurrent neural networks for the detection of valvular heart diseases in phonocardiogram recordings

M Alkhodari, L Fraiwan - Computer Methods and Programs in Biomedicine, 2021‏ - Elsevier
Valvular heart diseases (VHD) are one of the major causes of cardiovascular diseases that
are having high mortality rates worldwide. The early diagnosis of VHD prevents the …

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 …

Automated detection of heart valve diseases using chirplet transform and multiclass composite classifier with PCG signals

SK Ghosh, RN Ponnalagu, RK Tripathy… - Computers in biology and …, 2020‏ - Elsevier
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 …

Automated heart sound classification system from unsegmented phonocardiogram (PCG) using deep neural network

PT Krishnan, P Balasubramanian… - Physical and Engineering …, 2020‏ - Springer
Given the patient to doctor ratio of 50,000: 1 in low income and middle-income countries,
there is a need for automated heart sound classification system that can screen the …

Automatic diagnosis of multiple cardiac diseases from PCG signals using convolutional neural network

N Baghel, MK Dutta, R Burget - Computer Methods and Programs in …, 2020‏ - Elsevier
Background and objectives Cardiovascular diseases are critical diseases and need to be
diagnosed as early as possible. There is a lack of medical professionals in remote areas to …

DS-CNN: Dual-stream convolutional neural networks-based heart sound classification for wearable devices

Z Guo, J Chen, T He, W Wang… - IEEE Transactions on …, 2023‏ - ieeexplore.ieee.org
Cardiovascular diseases (CVDs) is considered a serious public health problem due to the
uncertainty of its onset. Consuming wearable devices have increasing popularities for …

Classification of heart sounds using fractional fourier transform based mel-frequency spectral coefficients and traditional classifiers

Z Abduh, EA Nehary, MA Wahed, YM Kadah - … Signal Processing and …, 2020‏ - Elsevier
Heart sounds are a rich source of information for early diagnosis of cardiac pathologies.
Distinguishing normal from abnormal heart sounds requires a specially trained clinician. Our …

A fusion framework based on multi-domain features and deep learning features of phonocardiogram for coronary artery disease detection

H Li, X Wang, C Liu, Q Zeng, Y Zheng, X Chu… - Computers in biology …, 2020‏ - Elsevier
Phonocardiogram (PCG) signals reflect the mechanical activity of the heart. Previous studies
have reported that PCG signals contain heart murmurs caused by coronary artery disease …