Classifying Heart-Sound Signals Based on CNN Trained on MelSpectrum and Log-MelSpectrum Features [PDF]
Bioengineering, 2023 The intelligent classification of heart-sound signals can assist clinicians in the rapid diagnosis of cardiovascular diseases. Mel-frequency cepstral coefficients (MelSpectrums) and log Mel-frequency cepstral coefficients (Log-MelSpectrums) based on a ...
Wei Chen +8 more
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Deep Learning in Heart Sound Analysis: From Techniques to Clinical Applications [PDF]
Health Data ScienceImportance: Heart sound auscultation is a routinely used physical examination in clinical practice to identify potential cardiac abnormalities. However, accurate interpretation of heart sounds requires specialized training and experience, which limits ...
Qinghao Zhao +12 more
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Deep Learning for Heart Sound Abnormality of Infants: Proof-of-Concept Study of 1D and 2D Representations [PDF]
ChildrenIntroduction: Advanced identification and intervention for Congenital Heart Defects (CHDs) in pediatric populations are crucial, as approximately 1% of neonates worldwide present with these conditions. Traditional methods of diagnosing CHDs often rely on
Eashita Wazed, Jimin Lee, Hieyong Jeong
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Segmentation of Heart Sound Signal Based on Multi-Scale Feature Fusion and Multi-Classification of Congenital Heart Disease [PDF]
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
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Hemodynamics-driven mathematical model of third heart sound generation [PDF]
Frontiers in Physiology, 2022 The proto-diastolic third heart sound (S3) is observed in various hemodynamic conditions in both normal and diseased hearts. We propose a novel, one-degree of freedom mathematical model of mechanical vibrations of heart and blood that generates the third
Mehrdad Shahmohammadi +8 more
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Advanced heart disease classification based on multi-channel heart sound coupling features. [PDF]
PLoS ONEConventional heart sound classification methods often rely on single-channel, one-dimensional feature extraction, which inadequately captures pathological relationships across different auscultation zones, thereby limiting the accuracy of heart disease ...
Yu Fang +5 more
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A review on deep learning methods for heart sound signal analysis [PDF]
Frontiers in Artificial IntelligenceIntroductionApplication of Deep Learning (DL) methods is being increasingly appreciated by researchers from the biomedical engineering domain in which heart sound analysis is an important topic of study.
Elaheh Partovi +3 more
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Wandering fourth heart sound. [PDF]
Eur Heart J Case Rep, 2022 Kunigita T +3 more
europepmc +3 more sources
Analysis of Heart-Sound Characteristics during Motion Based on a Graphic Representation
Sensors, 2021 In this paper, the graphic representation method is used to study the multiple characteristics of heart sounds from a resting state to a state of motion based on single- and four-channel heart-sound signals.
Chen-Jun She, Xie-Feng Cheng, Kai Wang
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IEEE Access, 2023 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 ...
Shuenn-Yuh Lee +5 more
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