Análisis de la marcha y el equilibrio mediante el uso de sensores inerciales: estudio prospectivo, longitudinal, no aleatorio
Date
Subject
postural balance
vertigo
fall
inertia
posturography
dizziness
balance
marcha
caída
sensores inerciales
posturografía
vértigo
vertigo
fall
inertia
posturography
dizziness
balance
marcha
caída
sensores inerciales
posturografía
vértigo
Language:
Journal Title
Journal ISSN
Volume Title
Publisher
Intituto Tecnológico de Santo Domingo (INTEC)
Antecedentes: la población mundial envejece de manera acelerada. Una tercera parte de los mayores de 65 años se cae por lo menos una vez al año, y esta prevalencia se incrementan a la mitad cuando se superan los 69 años.
Objetivo: establecer la sensibilidad del uso de sensores inerciales para determinar la marcha y las rotaciones del tronco en un grupo de individuos sanos.
Materiales: utilizamos tres sensores inerciales de nueve ejes, junto a un mismo número de microcontroladores, los cuales enviaron la información vía bluetooth al orde-nador, el procesamiento de los datos fue realizado mediante un programa de análisis desarrollado en MATLAB. Para analizar la sensibilidad de los sensores utilizamos el proto-colo de Akram et al.,5 modificado, el cual consta de cinco actividades.
Resultados: en nuestro estudio participaron seis volun-tarios, con una media de edad de 29 años, con un rango de edad de 25 a 33 años. Los sensores fueron capaces de detectar múltiples variables, entre ellas la elevación máxima y mínima de las piernas, número de pasos, el grado de inclinación del tronco, giro, velocidad y cadencia.
Conclusión: los resultados hasta ahora obtenidos son prometedores y consideramos que el uso de múltiples sensores inerciales para valorar la marcha y el equilibrio podrían resultar en una nueva herramienta para el diag-nóstico y seguimiento de personas con trastorno de la marcha y equilibrio.
Introduction: The world population is aging rapidly. A third of those over 65 years of age falls at least once a year, and this prevalence increases by half when they exceed 69 years. Objective: To determine the sensitivity of the use of inertial sensors to determine the gait and rotations of the trunk in a group of healthy individuals. Materials: We use 3 inertial sensors of 9-axis together with the same number of microcontrollers, that sent the infor-mation via bluetooth to the computer, the data processing was carried out through an analysis program developed in MATLAB. To analyze the sensitivity of the sensors we use the protocol of Akram et al,5 modified, which consists of 5 activities. Results: In our study 6 volunteers participated, with an average age of 29 years, with an age range 25 to 33 years. The sensors were able to detect multiple variables, including the maximum and minimum elevation of the legs, number of steps, the degree of inclination of the trunk, rotation, speed and cadence. Conclusion: The results obtained are promising and we believe that the use of multiple inertial sensors to assess gait and balance could result in a new tool for the diag-nosis and monitoring of people with gait and balance disorder.
Introduction: The world population is aging rapidly. A third of those over 65 years of age falls at least once a year, and this prevalence increases by half when they exceed 69 years. Objective: To determine the sensitivity of the use of inertial sensors to determine the gait and rotations of the trunk in a group of healthy individuals. Materials: We use 3 inertial sensors of 9-axis together with the same number of microcontrollers, that sent the infor-mation via bluetooth to the computer, the data processing was carried out through an analysis program developed in MATLAB. To analyze the sensitivity of the sensors we use the protocol of Akram et al,5 modified, which consists of 5 activities. Results: In our study 6 volunteers participated, with an average age of 29 years, with an age range 25 to 33 years. The sensors were able to detect multiple variables, including the maximum and minimum elevation of the legs, number of steps, the degree of inclination of the trunk, rotation, speed and cadence. Conclusion: The results obtained are promising and we believe that the use of multiple inertial sensors to assess gait and balance could result in a new tool for the diag-nosis and monitoring of people with gait and balance disorder.
Description
Type
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/publishedVersion
Source
Science and Health; Vol 4 No 1 (2020): Science and Health, january-april; 11-16
Ciencia y Salud; Vol. 4 Núm. 1 (2020): Ciencia y Salud, enero-abril; 11-16
2613-8824
2613-8816
10.22206/cysa.2020.v4i1
Ciencia y Salud; Vol. 4 Núm. 1 (2020): Ciencia y Salud, enero-abril; 11-16
2613-8824
2613-8816
10.22206/cysa.2020.v4i1