Please use this identifier to cite or link to this item: https://rfos.fon.bg.ac.rs/handle/123456789/1589
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dc.creatorDimitrijević, Dejan
dc.creatorObradović, Đorđe
dc.creatorNedić, Nemanja
dc.creatorLuković, Ivan
dc.date.accessioned2023-05-12T11:04:01Z-
dc.date.available2023-05-12T11:04:01Z-
dc.date.issued2016
dc.identifier.issn1064-1246
dc.identifier.urihttps://rfos.fon.bg.ac.rs/handle/123456789/1589-
dc.description.abstractThe paper presents a noninvasive scoliosis and other spine disorder automatic diagnostic solution implemented using low-cost commodity sensors, but still achieving adequate precision. The cost of similar commercial solutions is prohibitive to have them acquired by many healthcare institutions in less-developed countries, thus we have developed a low-cost one. The proposed solution can easily be used by healthcare institutions with small investment for obtaining otherwise expensive equipment. The precision and usefulness of designed spine disorder diagnostic solution is thoroughly tested during students' annual health checkups.en
dc.publisherIOS Press, Amsterdam
dc.rightsrestrictedAccess
dc.sourceJournal of Intelligent & Fuzzy Systems
dc.subjectspine disorderen
dc.subjectScoliosis screeningen
dc.subjectPOTSIen
dc.subjectlow-cost commodity sensorsen
dc.subjectDAPIen
dc.titleAutomatic idiopathic scoliosis screening using low-cost commodity sensorsen
dc.typearticle
dc.rights.licenseARR
dc.citation.epage2082
dc.citation.issue4
dc.citation.other31(4): 2073-2082
dc.citation.rankM23
dc.citation.spage2073
dc.citation.volume31
dc.identifier.doi10.3233/JIFS-169046
dc.identifier.rcubconv_1865
dc.identifier.scopus2-s2.0-84987623630
dc.identifier.wos000384842400003
dc.type.versionpublishedVersion
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.openairetypearticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
Appears in Collections:Radovi istraživača / Researchers’ publications
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