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Naslov:Time series and fractal analyses of wheezing : a novel approach
Avtorji:ID Swapna, Mohanachandran Nair Sindhu (Avtor)
ID Renjini, Ammini (Avtor)
ID Raj, Vimal (Avtor)
ID Sreejyothi, S. (Avtor)
ID Iyer Sankararaman, Sankaranarayana (Avtor)
Datoteke: Gradivo nima datotek, ki so prostodostopne za javnost. Gradivo je morda fizično dosegljivo v knjižnici fakultete, zalogo lahko preverite v COBISS-u. Povezava se odpre v novem oknu
Jezik:Angleški jezik
Vrsta gradiva:Neznano
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:UNG - Univerza v Novi Gorici
Opis: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.
Ključne besede:auscultation, wheeze, fractals, nonlinear time series analysis, sample entropy
Leto izida:2020
Št. strani:str. 1339–1347
Številčenje:Vol. 43, iss. 4
PID:20.500.12556/RUNG-7403 Novo okno
COBISS.SI-ID:113308675 Novo okno
UDK:53
ISSN pri članku:2662-4729
DOI:10.1007/s13246-020-00937-5 Novo okno
NUK URN:URN:SI:UNG:REP:NQDYQ9WC
Datum objave v RUNG:30.06.2022
Število ogledov:2529
Število prenosov:0
Metapodatki:XML DC-XML DC-RDF
:
SWAPNA, Mohanachandran Nair Sindhu, RENJINI, Ammini, RAJ, Vimal, SREEJYOTHI, S. in IYER SANKARARAMAN, Sankaranarayana, 2020, Time series and fractal analyses of wheezing : a  novel approach. Physical and Engineering Sciences in Medicine [na spletu]. 2020. Vol. 43, no. 4. [Dostopano 8 april 2025]. DOI 10.1007/s13246-020-00937-5. Pridobljeno s: https://repozitorij.ung.si/IzpisGradiva.php?lang=slv&id=7403
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Gradivo je del revije

Naslov:Physical and Engineering Sciences in Medicine
Skrajšan naslov:Phys. Eng. Sci. Med.
Založnik:Springer, Australasian College of Physical Scientists in Medicine
ISSN:2662-4729
COBISS.SI-ID:113303043 Novo okno

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