Results 1 to 10 of about 73 (68)
Research on Segmentation and Classification of Heart Sound Signals Based on Deep Learning
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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A Noise-Robust Heart Sound Segmentation Algorithm Based on Shannon Energy
Heart sound segmentation has been shown to improve the performance of artificial intelligence (AI)-based auscultation decision support systems increasingly viewed as a solution to compensate for eroding auscultatory skills and the associated subjectivity.
Youness Arjoune +3 more
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Adaptive Envelope Segmentation of Heart Sound Based on Non-Stationary System Identification [PDF]
To effectively segment Heart Sound Signal(HSS),this paper proposes an adaptive segmentation method for heart sound based on Non-Stationary System Identification(NSSI),so as to extract the envelope of HSS,and smooth and broaden it.The method uses the ...
XU Chundong, ZHOU Jing, YING Dongwen, LONG Qinghua
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Optimal Heart Sound Segmentation Algorithm Based on K-Mean Clustering and Wavelet Transform
The accurate localization of S1 and S2 is essential for heart sound segmentation and classification. However, current direct heart sound segmentation algorithms have poor noise immunity and low accuracy. Therefore, this paper proposes a new optimal heart
Xingchen Xu +5 more
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The Effect of Signal Duration on the Classification of Heart Sounds: A Deep Learning Approach
Deep learning techniques are the future trend for designing heart sound classification methods, making conventional heart sound segmentation dispensable.
Xinqi Bao +2 more
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Heart sound segmentation (HSS) is a critical step in heart sound processing, where it improves the interpretability of heart sound disease classification algorithms.
Yibo Yin, Kainan Ma, Ming Liu
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Heart sound signals reflect valuable information about heart condition. Previous studies have suggested that the information contained in single-channel heart sound signals can be used to detect coronary artery disease (CAD). But accuracy based on single-
Tongtong Liu +10 more
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Heart Sound Classification Network Based on Convolution and Transformer
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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Biometric Identification Method for Heart Sound Based on Multimodal Multiscale Dispersion Entropy
In this paper, a new method of biometric characterization of heart sounds based on multimodal multiscale dispersion entropy is proposed. Firstly, the heart sound is periodically segmented, and then each single-cycle heart sound is decomposed into a group
Xiefeng Cheng, Pengfei Wang, Chenjun She
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Cross-Domain Transfer Learning for PCG Diagnosis Algorithm
Cardiechema is a way to reflect cardiovascular disease where the doctor uses a stethoscope to help determine the heart condition with a sound map.
Kuo-Kun Tseng +5 more
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