Results 11 to 20 of about 29,039 (221)

Classification of Heart Sound Signal Using Multiple Features

Applied Sciences, 2018
Cardiac disorders are critical and must be diagnosed in the early stage using routine auscultation examination with high precision. Cardiac auscultation is a technique to analyze and listen to heart sound using electronic stethoscope, an electronic ...
Yaseen, Gui-Young Son, Soonil Kwon
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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]

Bioengineering
In 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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Robust Heart Sound Analysis With MFCC and Light Weight Convolutional Neural Network [PDF]

IEEE Open Journal of Engineering in Medicine and Biology
Objective: Heart sound analysis is essential for cardiovascular disorder classification. Traditional auscultation and rule-based methods require manual feature engineering and clinical expertise.
Aliya Hasan, Mohammad Karim
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Classifying Heart-Sound Signals Based on CNN Trained on MelSpectrum and Log-MelSpectrum Features

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, Zixuan Zhou, Junze Bao, Chengniu Wang, Hanqing Chen, Chen Xu, Gangcai Xie, Hongmin Shen, Huiqun Wu   +8 more
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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, Wuyou Li, Wangqi Zhang, Sheng Zhang, Xitian Pi, Hongying Liu   +5 more
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A wearable nanoscale heart sound sensor based on P(VDF-TrFE)/ZnO/GR and its application in cardiac disease detection

Beilstein Journal of Nanotechnology, 2023
This paper describes a method for preparing flexible composite piezoelectric nanofilms of P(VDF-TrFE)/ZnO/graphene using a high-voltage electrospinning method. Composition and β-phase content of the piezoelectric composite films were analyzed using X-ray
Yi Luo, Jian Liu, Jiachang Zhang, Yu Xiao, Ying Wu, Zhidong Zhao   +5 more
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Deep Wavelets for Heart Sound Classification [PDF]

2019 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS), 2019
Cardiovascular diseases have a high morbidity, and remain the leading cause of mortality. In the past two decades, developing an intelligent auscultation system has attracted tremendous efforts from the field of signal processing and machine learning. We propose a novel framework based on wavelet representations and deep recurrent neural networks for ...
Qian, Kun, Ren, Zhao, Dong, Fengquan, Lai, Wen-Hsing, Schuller, Bjorn W., Yamamoto, Yoshiharu   +5 more
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Heart sound classification from unsegmented phonocardiograms [PDF]

Physiological Measurement, 2017
Most algorithms for automated analysis of phonocardiograms (PCG) require segmentation of the signal into the characteristic heart sounds. The aim was to assess the feasibility for accurate classification of heart sounds on short, unsegmented recordings.PCG segments of 5 s duration from the PhysioNet/Computing in Cardiology Challenge database were ...
Langley, Philip, Murray, Alan
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Detection of Coronary Artery Disease Using Multi-Domain Feature Fusion of Multi-Channel Heart Sound Signals

Entropy, 2021
Heart sound signals reflect valuable information about heart condition. Previous studies have suggested that the information contained in single-channel heart sound signals can be used to detect coronary artery disease (CAD). But accuracy based on single-
Tongtong Liu, Peng Li, Yuanyuan Liu, Huan Zhang, Yuanyang Li, Yu Jiao, Changchun Liu, Chandan Karmakar, Xiaohong Liang, Mengli Ren, Xinpei Wang   +10 more
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Time-Frequency distributions of heart sound signals: A Comparative study using convolutional neural networks

Biomedical Engineering Advances, 2023
Time-Frequency Distributions (TFDs) support the heart sound characterisation and classification in early cardiac screening. However, despite the frequent use of TFDs in signal analysis, no comprehensive study has been conducted to compare their ...
Xinqi Bao, Yujia Xu, Hak-Keung Lam, Mohamed Trabelsi, Ines Chihi, Lilia Sidhom, Ernest N. Kamavuako   +6 more
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