Title: | Unravelling the potential of phase portrait in the auscultation of mitral valve dysfunction |
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Authors: | Mohanachandran Nair Sindhu, Swapna (Author) S, SREEJYOTHI (Author) A, RENJINI (Author) VIMAL, RAJ (Author) SANKARANARAYANA IYER, SANKARARAMAN (Author) |
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Files: | This document has no files. This document may have a phisical copy in the library of the organization, check the status via COBISS.  |
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Language: | English |
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Work type: | Not categorized (r6) |
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Tipology: | 1.01 - Original Scientific Article |
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Organization: | UNG - University of Nova Gorica |
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Abstract: | The manuscript elucidates the potential of phase portrait, fast Fourier transform, wavelet, and time-series analyses of the heart murmur (HM) of normal (healthy) and mitral regurgitation (MR) in the diagnosis of valve-related cardiovascular diseases. The temporal evolution study of phase portrait and the entropy analyses of HM unveil the valve dysfunctioninduced haemodynamics. A tenfold increase in sample entropy in MR from that of normal indicates the valve dysfunction. The occurrence of a large number of frequency components between lub and dub in MR, compared to the normal, is substantiated through the spectral analyses. The machine learning techniques, K-nearest neighbour, support vector machine, and principal component analyses give 100% predictive accuracy. Thus, the study suggests a surrogate method of auscultation of HM that can be employed cost-effectively in rural health centres. |
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Keywords: | phase portrait, auscultation, mitral valve dysfunction, heart murmur, nonlinear time series analysis |
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Year of publishing: | 2021 |
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Number of pages: | 15 |
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Numbering: | 136, 2 |
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COBISS_ID: | 112992771  |
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URN: | URN:SI:UNG:REP:SKDJRX4E |
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DOI: | 10.1140/epjp/s13360-021-01185-6  |
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License: |  This work is available under this license: Creative Commons Attribution Non-Commercial No Derivatives 4.0 International |
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Views: | 382 |
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Downloads: | 0 |
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