Results 11 to 20 of about 4,885 (281)
A Noise-Robust Heart Sound Segmentation Algorithm Based on Shannon Energy [PDF]
IEEE AccessHeart 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
doaj +5 more sources
An automatic segmentation method for heart sounds [PDF]
BioMedical Engineering OnLine, 2018 Background There are two major challenges in automated heart sound analysis: segmentation and classification. An efficient segmentation is capable of providing valuable diagnostic information of patients.
Qingshu Liu, Xiaomei Wu, Xiaojing Ma
doaj +4 more sources
A framework for automatic heart sound analysis without segmentation [PDF]
BioMedical Engineering OnLine, 2011 Background A new framework for heart sound analysis is proposed. One of the most difficult processes in heart sound analysis is segmentation, due to interference form murmurs.
Tungpimolrut Kanokvate +3 more
doaj +5 more sources
Applied Sciences, 2020 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
doaj +4 more sources
BioengineeringAnalyzing heart sound signals presents a novel approach for early diagnosis of pediatric congenital heart disease. The existing segmentation algorithms have limitations in accurately distinguishing the first (S1) and second (S2) heart sounds, limiting ...
Yuan Zeng +3 more
doaj +4 more sources
A Markov-Switching Model Approach to Heart Sound Segmentation and Classification [PDF]
IEEE Journal of Biomedical and Health Informatics, 2020 Objective: This paper considers challenges in developing algorithms for accurate segmentation and classification of heart sound (HS) signals. Methods: We propose an approach based on Markov switching autoregressive model (MSAR) to segmenting the HS into four fundamental components each with distinct second-order structure. The identified boundaries are
Fuad Noman +2 more
exaly +6 more sources
Optimal Heart Sound Segmentation Algorithm Based on K-Mean Clustering and Wavelet Transform
Applied Sciences, 2023 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
doaj +2 more sources
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
doaj +2 more sources
Heart Sound Classification Network Based on Convolution and Transformer
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
doaj +2 more sources
Advancing cardiovascular screening: deep learning-based heart-sound classification using SMOTE and temporal modeling [PDF]
Scientific ReportsEarly and reliable detection of cardiac murmurs from phonocardiogram (PCG) recordings is essential for improving cardiovascular screening and supporting diagnosis in primary care. However, automated murmur classification remains challenging due to signal
Asmaa Ameen +3 more
doaj +2 more sources