Results 21 to 30 of about 29,039 (221)
This paper proposes an intelligent stethoscope system that synchronously displays the electrocardiogram (ECG) and heart sound. The instrument, which accelerates auscultation, can be used for the diagnosis of valvular heart disease (VHD) for clinical ...
Shuenn-Yuh Lee +5 more
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Transfer Learning Models for Detecting Six Categories of Phonocardiogram Recordings
Background and aims: Auscultation is a cheap and fundamental technique for detecting cardiovascular disease effectively. Doctors’ abilities in auscultation are varied.
Miao Wang +5 more
doaj +1 more source
The Effect of Signal Duration on the Classification of Heart Sounds: A Deep Learning Approach
Deep learning techniques are the future trend for designing heart sound classification methods, making conventional heart sound segmentation dispensable.
Xinqi Bao +2 more
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Heart Sound Classification using Shannon Energy
Abstract: The graphical representation of acoustic of the cardiac activity is called as Phonocardiogram or PCG and the machine is so called phonocardiograph. It has a vital role in the diagnosis of the heart defects. It requires highly and experienced professionals to read the phonocardiogram, usually with the Electronic, Acoustic stethoscopes and ...
Barath R +2 more
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Deep attention-based neural networks for explainable heart sound classification
Cardiovascular diseases are the leading cause of death and severely threaten human health in daily life. There have been dramatically increasing demands from both the clinical practice and the smart home application for monitoring the heart status of ...
Zhao Ren +6 more
doaj +1 more source
A System for Heart Sounds Classification
The future of quick and efficient disease diagnosis lays in the development of reliable non-invasive methods. As for the cardiac diseases - one of the major causes of death around the globe - a concept of an electronic stethoscope equipped with an automatic heart tone identification system appears to be the best solution.
Gradolewski, Dawid +2 more
openaire +4 more sources
Learning Image-based Representations for Heart Sound Classification [PDF]
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
Ren, Zhao +5 more
openaire +1 more source
Exploring the Impact of Signal Quality Enhancement on Heart Sound Classification Models
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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Deep Unsupervised Representation Learning for Abnormal Heart Sound Classification [PDF]
Given the world-wide prevalence of heart disease, the robust and automatic detection of abnormal heart sounds could have profound effects on patient care and outcomes. In this regard, a comparison of conventional and state-of-theart deep learning based computer audition paradigms for the audio classification task of normal, mild abnormalities, and ...
Amiriparian, Shahin +5 more
openaire +3 more sources
Classification of Heart Sounds Based on the Wavelet Fractal and Twin Support Vector Machine
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
doaj +1 more source

