97383 20210902121933.0 doi 10.3390/app10238558 sideral 121768 ART-2020-121768 eng Marin, J. Universidad de Zaragoza (orcid)0000-0003-4527-3267 Is my patient improving? Individualized gait analysis in rehabilitation 2020 Access copy available to the general public Unrestricted In 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. info:eu-repo/grantAgreement/ES/DGA ERDF UZ info:eu-repo/grantAgreement/ES/MICINN/PTQ2018-010045 info:eu-repo/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 2.679 2020 PHYSICS, APPLIED 73 / 160 = 0.456 2020 Q2 T2 ENGINEERING, MULTIDISCIPLINARY 38 / 91 = 0.418 2020 Q2 T2 CHEMISTRY, MULTIDISCIPLINARY 101 / 178 = 0.567 2020 Q3 T2 MATERIALS SCIENCE, MULTIDISCIPLINARY 201 / 333 = 0.604 2020 Q3 T2 0.435 2020 Computer Science Applications 2020 Q2 Engineering (miscellaneous) 2020 Q2 Process Chemistry and Technology 2020 Q2 Instrumentation 2020 Q2 Materials Science (miscellaneous) 2020 Q2 Fluid Flow and Transfer Processes 2020 Q2 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Marin, J.J. Universidad de Zaragoza (orcid)0000-0003-3223-1324 Blanco, T. Universidad de Zaragoza (orcid)0000-0002-1831-3342 de la Torre, J. (orcid)0000-0001-8737-5814 Salcedo, I. Martitegui, E. 5002 720 Universidad de Zaragoza Dpto. Ingeniería Diseño Fabri. Área Proyectos de Ingeniería 3001 193 Universidad de Zaragoza Dpto. Expres.Music.Plást.Corp. Área Didáctica Expr.Plástica 10, 23 (2020), 8558 [1-18] Appl. sci. APPLIED SCIENCES-BASEL 2076-3417 725968 http://zaguan.unizar.es/record/97383/files/texto_completo.pdf Versión publicada 448692 http://zaguan.unizar.es/record/97383/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:97383 articulos driver 2021-09-02-10:56:38 ARTICLE