Results 191 to 200 of about 5,458 (233)
Multiscale analysis of heart sound signals in the wavelet domain for heart murmur detection. [PDF]
Vimalajeewa D, Lee C, Vidakovic B.
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Artificial intelligence-based screening for cardiomyopathy in an obstetric population: A pilot study. [PDF]
Adedinsewo D +16 more
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Integrated fusion approach for multi-class heart disease classification through ECG and PCG signals with deep hybrid neural networks. [PDF]
Hangaragi S +3 more
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[The phonocardiogram in coronary insufficiency].
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Automatic segmentation for neonatal phonocardiogram
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021This work addresses the automatic segmentation of neonatal phonocardiogram (PCG) to be used in the artificial intelligence-assisted diagnosis of abnormal heart sounds. The proposed novel algorithm has a single free parameter - the maximum heart rate. The algorithm is compared with the baseline algorithm, which was developed for adult PCG segmentation ...
Sergi, Gomez-Quintana +4 more
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The phonocardiogram exercise test
IEEE Engineering in Medicine and Biology Magazine, 1999Cardiovascular disease is the leading killer and the major cause of disability in adults. Detection and analysis of heart sounds is an important (and economical) method that can be used to determine the state of the heart and great vessels. In this article we present a newly developed technique for detecting cardiac reserve in both healthy and diseased
Y, Xiao +4 more
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Computer aided analysis of phonocardiogram
Journal of Medical Engineering & Technology, 2007In the present paper analysis of phonocardiogram (PCG) records are presented. The analysis has been carried out in both time and frequency domains with the aim of detecting certain correlations between the time and frequency domain representations of PCG. The analysis is limited to first and second heart sounds (S1 and S2) only.
J, Singh, R S, Anand
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Fetal Phonocardiogram Decomposition Framework
SoutheastCon 2018, 2018In this paper, an efficient procedure to identify vital bio-signals from the Fetal Phonocardiogram (FPCG) signal is presented. FPCG signal is rich in physiological bio-signals. However, extracting these bio-signals with fidelity is a challenging task since they overlap in time and frequency and as well as corrupted by noise induced from the maternal ...
Venkata Akshay B. K. Vadali +3 more
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