000097383 001__ 97383
000097383 005__ 20210902121933.0
000097383 0247_ $$2doi$$a10.3390/app10238558
000097383 0248_ $$2sideral$$a121768
000097383 037__ $$aART-2020-121768
000097383 041__ $$aeng
000097383 100__ $$0(orcid)0000-0003-4527-3267$$aMarin, J.$$uUniversidad de Zaragoza
000097383 245__ $$aIs my patient improving? Individualized gait analysis in rehabilitation
000097383 260__ $$c2020
000097383 5060_ $$aAccess copy available to the general public$$fUnrestricted
000097383 5203_ $$aIn the rehabilitation field, clinicians are continually struggling to assess improvements in patients following interventions. In this paper, we propose an approach to use gait analysis based on inertial motion capture (MoCap) to monitor individuals during rehabilitation. Gait is a cyclical movement that generates a sufficiently large data sample in each capture session to statistically compare two different sessions from a single patient. Using this crucial idea, 21 heterogeneous patients with hemiplegic spasticity were assessed using gait analysis before and after receiving treatment with botulinum toxin injections. Afterwards, the two sessions for each patient were compared using the magnitude-based decision statistical method. Due to the challenge of classifying changes in gait variables such as improvements or impairments, assessing each patient’s progress required an interpretative process. After completing this process, we determined that 10 patients showed overall improvement, five patients showed overall impairment, and six patients did not show any overall change. Finally, the interpretation process was summarized by developing guidelines to aid in future assessments. In this manner, our approach provides graphical information about the patients’ progress to assess improvement following intervention and to support decision-making. This research contributes to integrating MoCap-based gait analysis into rehabilitation.
000097383 536__ $$9info:eu-repo/grantAgreement/ES/DGA ERDF UZ$$9info:eu-repo/grantAgreement/ES/MICINN/PTQ2018-010045
000097383 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000097383 590__ $$a2.679$$b2020
000097383 591__ $$aPHYSICS, APPLIED$$b73 / 160 = 0.456$$c2020$$dQ2$$eT2
000097383 591__ $$aENGINEERING, MULTIDISCIPLINARY$$b38 / 91 = 0.418$$c2020$$dQ2$$eT2
000097383 591__ $$aCHEMISTRY, MULTIDISCIPLINARY$$b101 / 178 = 0.567$$c2020$$dQ3$$eT2
000097383 591__ $$aMATERIALS SCIENCE, MULTIDISCIPLINARY$$b201 / 333 = 0.604$$c2020$$dQ3$$eT2
000097383 592__ $$a0.435$$b2020
000097383 593__ $$aComputer Science Applications$$c2020$$dQ2
000097383 593__ $$aEngineering (miscellaneous)$$c2020$$dQ2
000097383 593__ $$aProcess Chemistry and Technology$$c2020$$dQ2
000097383 593__ $$aInstrumentation$$c2020$$dQ2
000097383 593__ $$aMaterials Science (miscellaneous)$$c2020$$dQ2
000097383 593__ $$aFluid Flow and Transfer Processes$$c2020$$dQ2
000097383 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000097383 700__ $$0(orcid)0000-0003-3223-1324$$aMarin, J.J.$$uUniversidad de Zaragoza
000097383 700__ $$0(orcid)0000-0002-1831-3342$$aBlanco, T.$$uUniversidad de Zaragoza
000097383 700__ $$0(orcid)0000-0001-8737-5814$$ade la Torre, J.
000097383 700__ $$aSalcedo, I.
000097383 700__ $$aMartitegui, E.
000097383 7102_ $$15002$$2720$$aUniversidad de Zaragoza$$bDpto. Ingeniería Diseño Fabri.$$cÁrea Proyectos de Ingeniería
000097383 7102_ $$13001$$2193$$aUniversidad de Zaragoza$$bDpto. Expres.Music.Plást.Corp.$$cÁrea Didáctica Expr.Plástica
000097383 773__ $$g10, 23 (2020), 8558 [1-18]$$pAppl. sci.$$tAPPLIED SCIENCES-BASEL$$x2076-3417
000097383 8564_ $$s725968$$uhttps://zaguan.unizar.es/record/97383/files/texto_completo.pdf$$yVersión publicada
000097383 8564_ $$s448692$$uhttps://zaguan.unizar.es/record/97383/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000097383 909CO $$ooai:zaguan.unizar.es:97383$$particulos$$pdriver
000097383 951__ $$a2021-09-02-10:56:38
000097383 980__ $$aARTICLE