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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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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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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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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Heart sound classification using Gaussian mixture model. [PDF]
Porto Biomed J, 2018 Abstract Background: This article represents a new method of classifying the heart sound status using the loudness features from the heart sound. Materials and methods: The method includes the following 3 main steps. First, the heart sound, which is usually found noisy, is
Shervegar MV, Bhat GV.
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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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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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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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Attention-Fusion-Based Two-Stream Vision Transformer for Heart Sound Classification [PDF]
BioengineeringVision Transformers (ViTs), inspired by their success in natural language processing, have recently gained attention for heart sound classification (HSC).
Kalpeshkumar Ranipa +2 more
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Heart Sound Classification for Early Detection of Cardiovascular Diseases Using XGBoost and Engineered Acoustic Features [PDF]
SensorsHeart sound-based detection of cardiovascular diseases is a critical task in clinical diagnostics, where early and accurate identification can significantly improve patient outcomes.
P. P. Satya Karthikeya +7 more
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