Results 31 to 40 of about 29,766 (248)
A Tensor Approach to Heart Sound Classification [PDF]
2016 Computing in Cardiology Conference (CinC), 2016 In the context of the PhysioNet/CinC 2016 Challenge, where a relatively large, labeled data set of phonocardiograms (PCGs) was made available, this work presents a mixed approach to the problem of its binary classification. Instead of laboriously selecting a set of PCG signal features that capture the fundamental differences between healthy and ...
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Exploring the Impact of Signal Quality Enhancement on Heart Sound Classification Models
IEEE Access, 2023 Limited cardiology resources increase the urgency for automated heart disease screening for the general public. Heart sound diagnostic models have been recently employed as a cost-effective solution for the initial screening of heart disease.
Davoud Shariat Panah +2 more
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Classification of Heart Sounds Based on the Wavelet Fractal and Twin Support Vector Machine
Entropy, 2019 Heart is an important organ of human beings. As more and more heart diseases are caused by people’s living pressure or habits, the diagnosis and treatment of heart diseases also require technical improvement.
Jinghui Li, Li Ke, Qiang Du
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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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IEEE Open Journal of Instrumentation and Measurement, 2023 Cardiovascular diseases are growing rapidly in this world. Around 70% of the world’s population is suffering from the same. The entire research work is grouped into the classification and analysis of heart sound.
Tanmay Sinha Roy +2 more
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Heart Sounds Classification for a Medical Diagnostic Assistance
International Journal of Online and Biomedical Engineering (iJOE), 2019 In order to develop the assessment of phonocardiogram “PCG” signal for discrimination between two of people classes – individuals with heart disease and healthy one- we have adopted the database provided by "The PhysioNet/Computing in Cardilogy Challenge 2016", which contains records of heart sounds 'PCG '.
Abdelhamid Bourouhou +3 more
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Learning Image-based Representations for Heart Sound Classification [PDF]
Proceedings of the 2018 International Conference on Digital Health, 2018 Machine learning based heart sound classification represents an efficient technology that can help reduce the burden of manual auscultation through the automatic detection of abnormal heart sounds. In this regard, we investigate the efficacy of using the pre-trained Convolutional Neural Networks (CNNs) from large-scale image data for the classification
Zhao Ren +5 more
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Optimal Heart Sound Segmentation Algorithm Based on K-Mean Clustering and Wavelet Transform
Applied Sciences, 2023 The accurate localization of S1 and S2 is essential for heart sound segmentation and classification. However, current direct heart sound segmentation algorithms have poor noise immunity and low accuracy. Therefore, this paper proposes a new optimal heart
Xingchen Xu +5 more
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HeartSiam: A Domain Invariant Model for Heart Sound Classification
2022 8th Iranian Conference on Signal Processing and Intelligent Systems (ICSPIS), 2022 Cardiovascular disease is one of the leading causes of death according to WHO. Phonocardiography (PCG) is a costeffective, non-invasive method suitable for heart monitoring. The main aim of this work is to classify heart sounds into normal/abnormal categories. Heart sounds are recorded using different stethoscopes, thus varying in the domain.
Reza Yousefi Mashhoor, Ahmad Ayatollahi
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Design and Application of a Laconic Heart Sound Neural Network
IEEE Access, 2019 To design a classification algorithm of heart sounds with low hardware requirements and applicability to mobile terminals, this paper proposes a laconic heart sound neural network (LHSNN).
Xiefeng Cheng +3 more
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