Automated detection of abnormal heart sound signals using Fano-factor constrained tunable quality wavelet transform
Sign Up to like & getrecommendations! Published in 2021 at "Biocybernetics and Biomedical Engineering"
DOI: 10.1016/j.bbe.2020.12.007
Abstract: Abstract Manual interpretation of heart sounds is insensitive and prone to subjectivity. Automated diagnosis systems incorporating artificial intelligence and advanced signal processing tools can potentially increase the sensitivity of disease detection and reduce the subjectiveness.… read more here.
Keywords: heart sound; fano factor; heart; sound signals ... See more keywords
Radar-Based Heart Sound Detection
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DOI: 10.1038/s41598-018-29984-5
Abstract: This paper introduces heart sound detection by radar systems, which enables touch-free and continuous monitoring of heart sounds. The proposed measurement principle entails two enhancements in modern vital sign monitoring. First, common touch-based auscultation with… read more here.
Keywords: heart sound; radar based; heart; radar ... See more keywords
Combining sparse coding and time-domain features for heart sound classification.
Sign Up to like & getrecommendations! Published in 2017 at "Physiological measurement"
DOI: 10.1088/1361-6579/aa7623
Abstract: OBJECTIVE This paper builds upon work submitted as part of the 2016 PhysioNet/CinC Challenge, which used sparse coding as a feature extraction tool on audio PCG data for heart sound classification. APPROACH In sparse coding,… read more here.
Keywords: heart sound; classification; heart; sparse coding ... See more keywords
Detection of pathological heart sounds.
Sign Up to like & getrecommendations! Published in 2017 at "Physiological measurement"
DOI: 10.1088/1361-6579/aa7840
Abstract: Heart sound analysis has been a major topic of research over the past few decades. However, the necessity for a large and reliable database has been a major concern in these studies. OBJECTIVE Noting that… read more here.
Keywords: heart sound; sound classification; heart; heart sounds ... See more keywords
Comparative Study of Compressed Sensing for Heart Sound Acquisition in Wireless Body Sensor Networks
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2968052
Abstract: With the application of wireless body sensing network to real-time monitoring of biological signals, compressed sensing (CS) has become a promising signal acquisition technology that can extend monitoring time, reduce equipment cost and decrease power… read more here.
Keywords: acquisition; heart sound; comparative study; wireless body ... See more keywords
Automated Heart Valve Disorder Detection Based on PDF Modeling of Formant Variation Pattern in PCG Signal
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3157305
Abstract: Heart valve disorder (HVD) analysis from heart sound is being well known for a long period of time, and use of digital stethoscope gives opportunity to diagnose HVDs from phonocardiographic (PCG) signal. An automated HVD… read more here.
Keywords: heart valve; pcg signal; heart sound; heart ... See more keywords
Intelligent Stethoscope System and Diagnosis Platform With Synchronized Heart Sound and Electrocardiogram Signals
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3275015
Abstract: This paper proposes an intelligent stethoscope system that synchronously displays the electrocardiogram (ECG) and heart sound. The instrument, which accelerates auscultation, can be used for the diagnosis of valvular heart disease (VHD) for clinical physicians.… read more here.
Keywords: intelligent stethoscope; system; heart sound; heart ... See more keywords
Deep Convolutional Neural Networks for Heart Sound Segmentation
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2019.2894222
Abstract: This paper studies the use of deep convolutional neural networks to segment heart sounds into their main components. The proposed methods are based on the adoption of a deep convolutional neural network architecture, which is… read more here.
Keywords: heart sound; heart; neural networks; deep convolutional ... See more keywords
Heart Sound Extraction From Sternal Seismocardiographic Signal
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2018.2801341
Abstract: The phonocardiogram (PCG) signal indicates closing instants of atrio-ventricular and semilunar valves, and this information can also be extracted from two major profiles of a seismocardiographic (SCG) cycle. This letter presents a method to extract… read more here.
Keywords: heart sound; sound extraction; heart; extraction sternal ... See more keywords
Temporal-Framing Adaptive Network for Heart Sound Segmentation Without Prior Knowledge of State Duration
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Biomedical Engineering"
DOI: 10.1109/tbme.2020.3010241
Abstract: Objective: This paper presents a novel heart sound segmentation algorithm based on Temporal-Framing Adaptive Network (TFAN), including state transition loss and dynamic inference. Methods: In contrast to previous state-of-the-art approaches, TFAN does not require any… read more here.
Keywords: heart sound; heart; segmentation; state ... See more keywords
A Robust Deep Learning Framework Based on Spectrograms for Heart Sound Classification.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE/ACM transactions on computational biology and bioinformatics"
DOI: 10.1109/tcbb.2023.3247433
Abstract: Heart sound analysis plays an important role in early detecting heart disease. However, manual detection requires doctors with extensive clinical experience, which increases uncertainty for the task, especially in medically underdeveloped areas. This paper proposes… read more here.
Keywords: classification; heart sound; heart; attention module ... See more keywords