Evaluation of scoliosis using baropodometer and artificial neural network

dc.contributorUniversidade Estadual Paulista (Unesp)
dc.contributorFederal Institute of São Paulo
dc.date.accessioned2021-07-14T10:55:01Z
dc.date.accessioned2022-12-19T23:38:41Z
dc.date.available2021-07-14T10:55:01Z
dc.date.available2022-12-19T23:38:41Z
dc.date.created2021-07-14T10:55:01Z
dc.date.issued2017
dc.identifierResearch on Biomedical Engineering. Sociedade Brasileira de Engenharia Biomédica, v. 33, n. 2, p. 121-129, 2017.
dc.identifier2446-4732
dc.identifier2446-4740
dc.identifierhttp://hdl.handle.net/11449/213421
dc.identifier10.1590/2446-4740.00117
dc.identifierS2446-47402017000200121
dc.identifierS2446-47402017000200121.pdf
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5393830
dc.languageeng
dc.publisherSociedade Brasileira de Engenharia Biomédica
dc.relationResearch on Biomedical Engineering
dc.rightsAcesso aberto
dc.sourceSciELO
dc.subjectScoliosis
dc.subjectBaropodometer
dc.subjectWeight discharge
dc.subjectArtificial neural networks
dc.subjectSingle layer perceptron
dc.titleEvaluation of scoliosis using baropodometer and artificial neural network
dc.typeArtículos de revistas


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