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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An automatic segmentation method for heart sounds
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
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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
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A Novel Method for ECG-Free Heart Sound Segmentation in Patients with Severe Aortic Valve Disease [PDF]
SensorsSevere aortic valve diseases (AVD) cause changes in heart sounds, making phonocardiogram (PCG) analyses challenging. This study presents a novel method for segmenting heart sounds without relying on an electrocardiogram (ECG), specifically targeting ...
Elza Abdessater +7 more
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Construction and Validation of an Automatic Segmentation Method for Respiratory Sound Time Labels [PDF]
The Clinical Respiratory JournalBackground In the field of respiratory system diseases, the utilization of respiratory sounds in auscultation plays a crucial role in the specific disease diagnosis.
Jian Fan +6 more
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Real-time segmentation of heart sound pattern with amplitude reconstruction [PDF]
, 2010 This paper presents a new idea for real-time segmentation of heart sound using amplitude reconstruction. Biomedical signal processing usually uses recorded information as the inputs.
Doraismay, Shyamala +4 more
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Lightweight End-to-End Neural Network Model for Automatic Heart Sound Classification
Information, 2021 Heart sounds play an important role in the initial screening of heart diseases. However, the accurate diagnosis with heart sound signals requires doctors to have many years of clinical experience and relevant professional knowledge.
Tao Li +4 more
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Review of sensors for remote patient monitoring [PDF]
, 2008 Remote patient monitoring (RPM) of physiological measurements can provide an efficient method and high quality care to patients. The physiological signals measurement is the initial and the most important factor in RPM.
Sahandi, Reza, Liu, Yuanlong
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Automatic segmentation of Phonocardiogram using the occurrence of the cardiac events
Informatics in Medicine Unlocked, 2017 Objective: This paper presents automatic method of segmentation of heart sound using the occurrence of the cardiac rhythmic events. Methods: Noisy heart sound is filtered using the 6th order Chebyshev type I low pass filter to remove the redundant noise.
M. Vishwanath Shervegar, Ganesh V. Bhat
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Prediagnosis of Heart Failure (HF) Using Deep Learning and the Korotkoff Sound
Applied Sciences, 2022 Heart failure (HF) is a devastating condition that impairs people’s lives and health. Because of the high morbidity and mortality associated with HF, early detection is becoming increasingly critical.
Huanyu Zhang +5 more
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