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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:
https://link.springer.com/article/10.1007/s13246-024-01455-4
https://link.springer.com/content/pdf/10.1007/s13246-024-01455-4.pdf
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
COBISS.SI-ID:
207813379
ISSN:
2662-4729
UDC:
54
ISSN on article:
2662-4737
eISSN:
2662-4737
DOI:
10.1007/s13246-024-01455-4
NUK URN:
URN:SI:UNG:REP:6TM3YHET
Publication date in RUNG:
17.09.2024
Views:
765
Downloads:
4
Metadata:
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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
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
Licences
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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