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Title:Graph features based classification of bronchial and pleural rub sound signals : the potential of complex network unwrapped
Authors:ID Renjini, Ammini (Author)
ID Swapna, Mohanachandran Nair Sindhu (Author)
ID Iyer Sankararaman, Sankaranarayana (Author)
Files:URL https://link.springer.com/article/10.1007/s13246-024-01455-4
 
URL https://link.springer.com/content/pdf/10.1007/s13246-024-01455-4.pdf
 
URL https://link.springer.com/article/10.1007/s13246-024-01455-4/fulltext.html
 
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Language:English
Work type:Unknown
Typology:1.01 - Original Scientific Article
Organization:UNG - University of Nova Gorica
Keywords:complex network, lung sound, graph features, auscultation
Publication status:In print
Publication version:Author Accepted Manuscript
Publication date:01.01.2024
Year of publishing:2024
Number of pages:str. 1-13
Numbering:Vol. , ǂissueǂ
PID:20.500.12556/RUNG-9310 New window
COBISS.SI-ID:207813379 New window
ISSN:2662-4729
UDC:54
ISSN on article:2662-4737
eISSN:2662-4737
DOI:10.1007/s13246-024-01455-4 New window
NUK URN:URN:SI:UNG:REP:6TM3YHET
Publication date in RUNG:17.09.2024
Views:764
Downloads:4
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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:Australasian College of Physical Scientists in Medicine, Springer
ISSN:2662-4737
COBISS.SI-ID:114428931 New window

Document is financed by a project

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P2-0393
Name:Advanced materials for low-carbon and sustainable society

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License:Other
Description:https://www.springernature.com/gp/researchers/text-and-data-mining
Licensing start date:01.07.2024

License:Other
Description:https://www.springernature.com/gp/researchers/text-and-data-mining
Licensing start date:01.07.2024

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