Heart Sound Classification Network Based on Convolution and Transformer [PDF]
Sensors, 2023 Electronic auscultation is vital for doctors to detect symptoms and signs of cardiovascular diseases (CVDs), significantly impacting human health. Although progress has been made in heart sound classification, most existing methods require precise ...
Jiawen Cheng, Kexue Sun
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An Optimal Approach for Heart Sound Classification Using Grid Search in Hyperparameter Optimization of Machine Learning [PDF]
Bioengineering, 2022 Heart-sound auscultation is one of the most widely used approaches for detecting cardiovascular disorders. Diagnosing abnormalities of heart sound using a stethoscope depends on the physician’s skill and judgment.
Yunendah Nur Fuadah +2 more
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Heart sound classification based on improved mel-frequency spectral coefficients and deep residual learning [PDF]
Frontiers in Physiology, 2022 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 few years, most of them are still based on conventional segmented ...
Feng Li +4 more
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Research on Segmentation and Classification of Heart Sound Signals Based on Deep Learning
Applied Sciences, 2021 The heart sound signal is one of the signals that reflect the health of the heart. Research on the heart sound signal contributes to the early diagnosis and prevention of cardiovascular diseases.
Yi He +5 more
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Classification of Heart Sound Signal Using Multiple Features
Applied Sciences, 2018 Cardiac disorders are critical and must be diagnosed in the early stage using routine auscultation examination with high precision. Cardiac auscultation is a technique to analyze and listen to heart sound using electronic stethoscope, an electronic ...
Yaseen, Gui-Young Son, Soonil Kwon
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HM-Swin: Hierarchical Multiscale Swin Transformer Network with Attention Fusion for Heart Sound Classification [PDF]
BioengineeringHeart sound classification is crucial in the early detection and diagnosis of cardiovascular diseases, aiming at effectively capturing the complex patterns of heart sound signals.
Kalpeshkumar Ranipa +2 more
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Feature-Based Fusion Using CNN for Lung and Heart Sound Classification [PDF]
Sensors, 2022 Lung or heart sound classification is challenging due to the complex nature of audio data, its dynamic properties of time, and frequency domains. It is also very difficult to detect lung or heart conditions with small amounts of data or unbalanced and ...
Zeenat Tariq +2 more
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Multi-level feature encoding algorithm based on FBPSI for heart sound classification [PDF]
Scientific ReportsAnalysis of heart sound signals plays an essential role in preventing and diagnosing cardiac diseases. This study proposes a multi-level feature encoding algorithm based on frequency-balanced power spectral intensity for heart sound signal classification.
Yu Fang +3 more
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Heart Sound Classification Based on Multi-Scale Feature Fusion and Channel Attention Module [PDF]
BioengineeringIntelligent heart sound diagnosis based on Convolutional Neural Networks (CNN) has been attracting increasing attention due to its accuracy and efficiency, which have been improved by recent studies.
Mingzhe Li, Zhaoming He, Hao Wang
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Left Ventricular Pressure Estimation Using Machine Learning-Based Heart Sound Classification [PDF]
Frontiers in Cardiovascular Medicine, 2022 ObjectiveA method to estimate absolute left ventricular (LV) pressure and its maximum rate of rise (LV dP/dtmax) from epicardial accelerometer data and machine learning is proposed.MethodsFive acute experiments were performed on pigs.
Philip Westphal +9 more
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