Normal human gait patterns in Peruvian individuals: An exploratory assessment using VICON motion capture system

R. Dongo, M. Moscoso, R. Callupe, J. Pajaya, D. Elías

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4 Citas (Scopus)

Resumen

Gait analysis is of clinical relevance for clinicians. However, normal gait patterns used in foreign literature could be different from local individuals. The aim of this study was to determine the normal gait patterns and parameters of Peruvian individuals in order to have a local referent for clinical assessments and making diagnosis and treatment Peruvian people with lower motor neuron injuries. A descriptive study with 34 subjects was conducted to assess their gait cycle. VICON® cameras were used to capture body movements. For the analyses, we calculated spatiotemporal gait parameters and average angles of displacement of the hip, knee, and ankle joints with their respective 95% confidence intervals. The results showed gait speed was 0.58m/s, cadence was 102.1steps/min, and the angular displacement of the hip, knee and ankle joints were all lower than those described in the literature. In the graphs, gait cycles were close to those reported in previous studies, but the parameters of speed, cadence and angles of displacements are lower than the ones shown in the literature. These results could be used as a better reference pattern in the clinical setting.

Idioma originalInglés
Título de la publicación alojada13th International Conference on Medical Information Processing and Analysis
EditoresEduardo Romero, Natasha Lepore, Jorge Brieva, Juan David Garcia
EditorialSPIE
ISBN (versión digital)9781510616332
DOI
EstadoPublicada - 2017
Evento13th International Conference on Medical Information Processing and Analysis, SIPAIM 2017 - San Andres Island, Colombia
Duración: 5 oct. 20177 oct. 2017

Serie de la publicación

NombreProceedings of SPIE - The International Society for Optical Engineering
Volumen10572
ISSN (versión impresa)0277-786X
ISSN (versión digital)1996-756X

Conferencia

Conferencia13th International Conference on Medical Information Processing and Analysis, SIPAIM 2017
País/TerritorioColombia
CiudadSan Andres Island
Período5/10/177/10/17

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