A comprehensive survey on heart sound analysis in the deep learning era

Z Ren, Y Chang, TT Nguyen, Y Tan… - IEEE Computational …, 2024 - ieeexplore.ieee.org
Heart sound auscultation has been applied in clinical usage for early screening of
cardiovascular diseases. Due to the high demand for auscultation expertise, automatic …

Transfer learning based heart valve disease classification from Phonocardiogram signal

A Maity, A Pathak, G Saha - Biomedical Signal Processing and Control, 2023 - Elsevier
Physiological conditions that prevent heart valves from functioning precisely to ensure
proper blood circulation are known as heart valve disorder (HVD). Detection of HVD is …

[HTML][HTML] Review of Phonocardiogram Signal Analysis: Insights from the PhysioNet/CinC Challenge 2016 Database

B Zhu, Z Zhou, S Yu, X Liang, Y Xie, Q Sun - Electronics, 2024 - mdpi.com
The phonocardiogram (PCG) is a crucial tool for the early detection, continuous monitoring,
accurate diagnosis, and efficient management of cardiovascular diseases. It has the …

LEPCNet: A lightweight end-to-end PCG classification neural network model for wearable devices

L Zhu, W Qiu, Y Ma, F Tian, M Sun… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Wearable intelligent phonocardiogram (PCG) sensors provide a noninvasive method for
long-term monitoring of cardiac status, which is crucial for the early detection of …

[PDF][PDF] Weight Light, Hear Right: Heart Sound Classification with a Low-Complexity Model

J Ji, L Zhu, H Zhang, K Qian, K Xu, Z Song… - 2024 32nd European …, 2024 - eurasip.org
Cardiovascular diseases (CVDs) remain a leading cause of mortality, necessitating early
self-diagnosis for effective management. Computer-aided CVD diagnosis via computerised …

Heart sound classification based on residual shrinkage networks

L Zhu, K Qian, Z Wang, B Hu… - 2022 44th Annual …, 2022 - ieeexplore.ieee.org
Heart sound classification is one of the non-invasive methods for early detection of the
cardiovascular diseases (CVDs), the leading cause for deaths. In recent years, Computer …

[PDF][PDF] Study Selectively: An Adaptive Knowledge Distillation based on a Voting Network for Heart Sound Classification

X Qiu, L Zhu, Z Song, Z Chen, H Zhang… - … ,(Kos Island, Greece), 2024 - isca-archive.org
Phonocardiogram classification methods using deep neural networks have been widely
applied to the early detection of cardiovascular diseases recently. Despite their excellent …

Time and time-frequency features integrated cnn model for heart sound signals detection

Z Ren, Y Qiao, Y Yuan, Y Zhou… - … on Bioinformatics and …, 2022 - ieeexplore.ieee.org
Automatic heart sound diagnosis plays an important role in the early detection of
cardiovascular diseases. Phonocardiogram (PCG) signals are often used in this field f or its …

AMNet: Introducing an Adaptive Mel-Spectrogram End-to-End Neural Network for Heart Sound Classification

Y Tan, Z Wang, K Qian, Z Bao, Z Cao… - … Conference on E …, 2023 - ieeexplore.ieee.org
The cardiovascular diseases (CVDs) cause tremendous deaths yearly. The Mel-
spectrogram is widely used as a tool to analyse the heart sound, which facilitate a cheap …

An End-to-end Deep Learning Framework for Real-Time Denoising of Heart Sounds for Effective Computer-Aided Auscultation in Unseen Noise

SN Ali, SB Shuvo, T Hasan, MIS Al-Manzo… - Authorea …, 2023 - techrxiv.org
Objective: The heart sound signals captured via a digital stethoscope are often distorted by
environmental and physiological noise, altering their salient and critical properties. The …