Heart Sound Signals Segmentation and Multiclass Classification
International Journal of Online and Biomedical Engineering (iJOE), 2020 The heart is the organ that pumps blood with oxygen and nutrients into all body organs by a rhythmic cycle overlapping between contraction and dilatation. This is done by producing an audible sound which we can hear using a stethoscope. Many are the causes affecting the normal function of this most vital organ.
Abdelhamid Bourouhou +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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A robust heart sounds segmentation module based on S-transform [PDF]
Biomedical Signal Processing and Control, 2013 This paper presents a new module for heart sounds segmentation based on S-Transform. The heart sounds segmentation process segments the PhonoCardioGram (PCG) signal into four parts: S1 (first heart sound), systole, S2 (second heart sound) and diastole. It can be considered one of the most important phases in the auto-analysis of PCG signals.
Ali Moukadem +3 more
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Biometric Identification Method for Heart Sound Based on Multimodal Multiscale Dispersion Entropy
Entropy, 2020 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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Are Artificial Intelligence Models Listening Like Cardiologists? Bridging the Gap Between Artificial Intelligence and Clinical Reasoning in Heart-Sound Classification Using Explainable Artificial Intelligence [PDF]
BioengineeringIn recent years, deep learning has shown promise in automating heart-sound classification. Although this approach is fast, non-invasive, and cost-effective, its diagnostic accuracy still mainly depends on the clinician’s expertise, making it particularly
Sami Alrabie, Ahmed Barnawi
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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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Heart Sound Segmentation Using Deep Learning Techniques
CoRRHeart disease remains a leading cause of mortality worldwide. Auscultation, the process of listening to heart sounds, can be enhanced through computer-aided analysis using Phonocardiogram (PCG) signals. This paper presents a novel approach for heart sound segmentation and classification into S1 (LUB) and S2 (DUB) sounds.
Madine, Manas
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Abnormal heart sound recognition using SVM and LSTM models in real-time mode [PDF]
Scientific ReportsCardiovascular diseases are non-communicable diseases that are considered the leading cause of death worldwide accounting for 17.9 million fatalities. Auscultation of heart sounds is the most common and valuable way of diagnosing heart diseases.
Moy’awiah A. Al-Shannaq +3 more
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Adaptive Envelope Segmentation of Heart Sound Based on Non-Stationary System Identification [PDF]
Jisuanji gongcheng, 2020 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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Segmentation of Heart Sounds by Re-Sampled Signal Energy Method [PDF]
BRAIN. Broad Research in Artificial Intelligence and Neuroscience, 2018 <p>Auscultation, which means listening to heart sounds, is one of the most basic medical methods used by physicians to diagnose heart diseases. These voices provide considerable information about the pathological cardiac condition of arrhythmia, valve disorders, heart failure and other heart conditions.
Deperlioğlu, Ömer
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