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Issue title: Applications of intelligent & fuzzy theory in engineering technologies and applied science
Guest editors: Álvaro Rocha
Article type: Research Article
Authors: Dimitrijević, Dejan* | Obradović, Đorđe | Nedić, Nemanja | Luković, Ivan
Affiliations: Faculty of Technical Sciences, University of Novi Sad, Trg Dositeja Obradovića, Novi Sad, Serbia
Correspondence: [*] Corresponding author. Dejan Dimitrijević, Faculty of Technical Sciences, University of Novi Sad, Trg Dositeja Obradovića, 21000 Novi Sad, Serbia. Tel.: +381214852245; Fax: +38121458133; E-mail: dimitrijevic@uns.ac.rs.
Abstract: The 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.
Keywords: Scoliosis screening, low-cost commodity sensors, POTSI, DAPI, spine disorder
DOI: 10.3233/JIFS-169046
Journal: Journal of Intelligent & Fuzzy Systems, vol. 31, no. 4, pp. 2073-2082, 2016
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