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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 +3 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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Cepstral Features Extraction for Heart Sounds Classification
International Review of Electrical Engineering (IREE), 2018A novel method for separation between normal and abnormal heart sounds based on Phonocardiogram (PCG) is presented in this article. For features extraction phase, Mel-Frequency Cepstral Coefficients (MFCC) algorithm is used to extract information from heart sound signals.
Othmane El Badlaoui +2 more
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Heart sounds classification using motif based segmentation
Proceedings of the 18th International Database Engineering & Applications Symposium on - IDEAS '14, 2014In this paper we describe an algorithm for heart sound classification (classes Normal, Murmur and Extrasystole) based on the discretization of sound signals using the SAX (Symbolic Aggregate Approximation) representation. The general strategy is to automatically discover relevant top frequent motifs and relate them with the occurrence of systolic (S1 ...
Soraia Cruz Oliveira +2 more
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Heart and lung sounds based events classification
2016 Global Medical Engineering Physics Exchanges/Pan American Health Care Exchanges (GMEPE/PAHCE), 2016The acoustic signatures reflecting cardiopulmonary system operation contain complex but quantifiable essential diagnostic signs. Overall, these indicators encompass inspiratory and expiratory lung sounds, S1, S2, and other heart sounds with embedded peculiar signals of diverse disease conditions.
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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Classification of prosthetic heart valve sounds: A parametric approach
The Journal of the Acoustical Society of America, 1995People with heart problems have had their lives extended considerably with the development of the prosthetic heart valve. Great strides have been made in the development of the valves through the use of improved materials as well as efficient mechanical designs.
J V, Candy, H E, Jones
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A fast heart sounds detection and heart murmur classification algorithm
2012 IEEE 11th International Conference on Signal Processing, 2012This paper extends our previous studies and presents a fast, automatic cardiac auscultation scoring system that effectively identifies the first and second heart sounds (S 1 and S 2 ) and extracts clinical features of heart murmurs to assist clinical diagnosis.
Taikang Ning +3 more
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Cumulant-based trapezoidal basis selection for heart sound classification
Medical & Biological Engineering & Computing, 2015Past decades witnessed the expansion of linear signal processing methods in numerous biomedical applications. However, the nonlinear behavior of biomedical signals revived the interest in nonlinear signal processing methods such as higher-order statistics, in particular higher-order cumulants (HOC).
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Automatic Classification of Diseases from Heart Sounds
2022 Medical Technologies Congress (TIPTEKNO), 2022Fulya Demirci +3 more
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