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Unsupervised classification of heart sound recordings
2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2013An unsupervised framework for classifying heart sound data is proposed in this paper. Our goal is to cluster unknown heart sound recordings, such that each cluster contains sound recordings belonging to the same heart diseases or normal heart beat category.
Wei-Ho Tsai, Sung-How Su, Cin-Hao Ma
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Phonocardiogram signals classification into normal heart sounds and heart murmur sounds
2016 11th International Conference on Intelligent Systems: Theories and Applications (SITA), 2016Heart disease is the biggest killer in the world, it is a serious public health problem facing the world today. This problem has not only attracted the attention of doctors and cardiologists, but also that of signal processing specialists who seek to effectively detect this disease by treating cardiac signals.
Fatima Chakir +3 more
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Heart Sound Classification based on Residual Shrinkage Networks
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2022Heart sound classification is one of the non-invasive methods for early detection of the cardiovascular diseases (CVDs), the leading cause for deaths. In recent years, Computer Audition (CA) technology has become increasingly sophisticated, auxiliary diagnosis technology of heart disease based on CA has become a popular research area.
Lixian Zhu +5 more
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Classification of Heart Sounds Using MFCC and CNN
2021An excellent heart sound classification system can be used as a good method to complete the daily heart sound detection under the condition of low cost and high efficiency, which is convenient to detect problems in the early stage of heart disease, and at the same time can alleviate the problem of medical staff shortage.
Kai Wang, Kang Chen
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Processing of prosthetic heart valve sounds for classification
Proceedings of IEEE Symposium on Computer-Based Medical Systems (CBMS), 2002People with serious heart conditions have had their expected life span extended considerably with the development of the prosthetic heart valve especially with the great strides made in valve design. Even though the designs are extremely reliable, the valves are mechanical and operating continuously over a long period, therefore, structural failures ...
Jim V. Candy, Holger E. Jones
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Classification of mechanical prosthetic heart valve sounds
International Journal of Computational Science and Engineering, 2013Heart sounds of patients are usually used for analysis by cardiologists for the purpose of early detection of various heart diseases. In this paper, Hilbert-Huang transform HHT is applied to analyse five different kinds of mechanical prosthetic heart valve sounds, and an HHT-based feature extraction procedure is also developed to classify these five ...
Di Zhang 0001 +3 more
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Heart sound classification using the SNMFNet classifier
Physiological Measurement, 2019Abstract Objective : Heart sound classification still suffers from the challenges involved in achieving high accuracy in the case of small samples. Dimension reduction attempts to extract low-dimensional features with more discriminability from high-dimensional spaces or raw data, and is ...
Wei, Han +4 more
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Classification of normal and abnormal heart sounds
2017 Fourth International Conference on Advances in Biomedical Engineering (ICABME), 2017Heart hemodynamic status and detection of a cardiovascular disease can be evaluated by analyzing and visualizing the heart waveform through graphs called the Phonocardiogram (PCG). The normal sounds of the heart generate signals that are in the audible frequency range of the human ear.
Mohammad Nassralla +2 more
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Multimodal classification of heart sounds attributes
2014 Pan American Health Care Exchanges (PAHCE), 2014Pollution and associated negative impacts on human health is one of the major concerns of the World Health Organization and healthcare providers. Current interests focus on particles suspended in air known as PM 10 which significantly contribute to increased prevalence of heart disease.
P. Mayorga +3 more
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[Recognition and classification of heart sounds].
Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi, 2004This paper reviews the methods and research advances of recognition and classification of heart sounds. The methods include the statistical techniques and artificial neural network. It also discusses the main problems in the methods.
Y, Wang, H, Wang, J, Cheng
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