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Heart sound classification from unsegmented phonocardiograms [PDF]
Physiological Measurement, 2017 Abstract Objective : 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 ...
Langley, Philip, Murray, Alan
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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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HEART SOUND CLASSIFICATION VIA VISION TRANSFORMER MODELS
, 2023 The automatic heart sound classification is an integral part of the early diagnosis of cardiovascular diseases(CVDs). Even though advances in medical technologies allow us to diagnose many CVDs, it remains one of the leading causes of death worldwide due
Adilkhanuly, Zhanat
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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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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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Codec Data Augmentation for Time-domain Heart Sound Classification [PDF]
, 2023 Heart auscultations are a low-cost and effective way of detecting valvular heart diseases early, which can save lives. Nevertheless, it has been difficult to scale this screening method since the effectiveness of auscultations is dependent on the skill ...
Yip, Jia Qi +2 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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