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Title:Time series and fractal analyses of wheezing : a novel approach
Authors:Swapna, Mohanachandran Nair Sindhu (Author)
Renjini, Ammini (Author)
Raj, Vimal (Author)
Sreejyothi, S. (Author)
Sankararaman, Sankaranarayana Iyer (Author)
Files:This document has no files. This document may have a phisical copy in the library of the organization, check the status via COBISS. Link is opened in a new window
Work type:Unknown ()
Tipology:1.01 - Original Scientific Article
Organization:UNG - University of Nova Gorica
Abstract:Since the outbreak of the pandemic Coronavirus Disease 2019, the world is in search of novel non-invasive methods for safer and early detection of lung diseases. The pulmonary pathological symptoms refected through the lung sound opens a possibility of detection through auscultation and of employing spectral, fractal, nonlinear time series and principal component analyses. Thirty-fve signals of vesicular and expiratory wheezing breath sound, subjected to spectral analyses shows a clear distinction in terms of time duration, intensity, and the number of frequency components. An investigation of the dynamics of air molecules during respiration using phase portrait, Lyapunov exponent, sample entropy, fractal dimension, and Hurst exponent helps in understanding the degree of complexity arising due to the presence of mucus secretions and constrictions in the respiratory airways. The feature extraction of the power spectral density data and the application of principal component analysis helps in distinguishing vesicular and expiratory wheezing and thereby, giving a ray of hope in accomplishing an early detection of pulmonary diseases through sound signal analysis.
Keywords:auscultation, wheeze, fractals, nonlinear time series analysis, sample entropy
Year of publishing:2020
Number of pages:str. 1339–1347
Numbering:iss. 4, Vol. 43
COBISS_ID:113308675 Link is opened in a new window
ISSN on article:2662-4729
DOI:10.1007/s13246-020-00937-5 Link is opened in a new window
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Record is a part of a journal

Title:Physical and Engineering Sciences in Medicine
Shortened title:Phys. Eng. Sci. Med.
Publisher:Springer, Australasian College of Physical Scientists in Medicine
COBISS.SI-ID:113303043 New window