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Gait Analysis Using the Physics Toolbox App

dc.contributor.authorGarcia Barrientos, Abel
dc.contributor.otherBalderas Navarro, Raul
dc.contributor.otherMacias Velasquez, Sharon
dc.contributor.otherHoyo Montaño, Jose Antonio
dc.contributor.otherGarcia Ramírez, Mario Alberto
dc.contributor.otherEspejel Blanco, Daniel
dc.contributor.otherPlaza Castillo, Jairo
dc.date.accessioned2022-11-15T21:17:52Z
dc.date.available2022-11-15T21:17:52Z
dc.date.issued2022-03-10
dc.date.submitted2022-02-12
dc.identifier.citationA. Garcia-Barrientos et al., "Gait Analysis Using the Physics Toolbox App," in IEEE Access, vol. 10, pp. 31732-31739, 2022, doi: 10.1109/ACCESS.2022.3158315.spa
dc.identifier.urihttps://hdl.handle.net/20.500.12834/968
dc.description.abstractSensors in new smartphones can be an excellent tool to measure different physical quantities and these can be useful to develop real experiments with application in human health. Therefore, in this research work, the design and construction of a gait analyser was carried out using the toolbox physics app for data acquisition and MATLAB was used for its analysis. This system analyses the behaviour of walking in people and its purpose is to diagnose any health problem caused by the human being's way of walking. For this, the g-force meter was used in x, y, and z components. This application uses inputs from the device's sensors to save and export the data in comma-separated values (CSV) format through a.csv extension. The results are very interesting because they can be used in medical diagnoses such as reduced gait speed and loss of regularity, symmetry, or synchronization of body movements. Since many organs are involved in gait, there are several types of gait disturbances that cause gait to be abnormal.With this system, it is possible to identify the hemiplegic gait, festinating gait, paraparhetic gait, waddling gait, among others. This analysis was carried out using the Pearson, Spearman, and Kendall correlation coef cients, which indicate the possible diagnoses in the patients.spa
dc.format.mimetypeapplication/pdfspa
dc.language.isoengspa
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.sourceIEEE Accessspa
dc.titleGait Analysis Using the Physics Toolbox Appspa
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datacite.rightshttp://purl.org/coar/access_right/c_abf2spa
oaire.resourcetypehttp://purl.org/coar/resource_type/c_2df8fbb1spa
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85spa
dc.audiencePúblico generalspa
dc.identifier.doi10.1109/ACCESS.2022.3158315.
dc.identifier.instnameUniversidad del Atlánticospa
dc.identifier.reponameRepositorio Universidad del Atlánticospa
dc.identifier.urlhttps://www.scopus.com/record/display.uri?eid=2-s2.0-85126318837&doi=10.1109%2fACCESS.2022.3158315&origin=inward&txGid=7f930d798d42c9ea7abe1d0294c4c5f7
dc.rights.ccAttribution-NonCommercial 4.0 International*
dc.subject.keywordsGait analyzerspa
dc.subject.keywordsaccelerometersspa
dc.subject.keywordsnon-invasive measurementsspa
dc.subject.keywordsphysics toolbox appspa
dc.type.driverinfo:eu-repo/semantics/articlespa
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersionspa
dc.type.spaArtículospa
dc.publisher.placeBarranquillaspa
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessspa
dc.publisher.disciplineFísicaspa
dc.publisher.sedeSede Nortespa


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