Frailty assessment based on trunk kinematic parameters during walking
| Autor: | Leocadio Rodríguez-Mañas, Nora Millor, Mikel Izquierdo, Marisol Gómez, Ion Martinikorena, Pablo Lecumberri, Francisco José García García, Alicia Martínez-Ramírez |
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| Přispěvatelé: | Universidad Pública de Navarra. Departamento de Matemáticas, Nafarroako Unibertsitate Publikoa. Matematika Saila |
| Rok vydání: | 2015 |
| Předmět: |
Male
medicine.medical_specialty Frail Elderly Population Frailty syndrome Poison control Health Informatics Walking Kinematics Inertial sensors Frailty Accelerometer Physical medicine and rehabilitation Gait (human) Accelerometry medicine Humans education Gait Aged education.field_of_study Frailty business.industry Research Rehabilitation Torso medicine.disease Gyroscope Trunk Biomechanical Phenomena Accelerometer medicine.anatomical_structure Gait analysis Physical therapy Female business human activities |
| Zdroj: | Academica-e: Repositorio Institucional de la Universidad Pública de Navarra Universidad Pública de Navarra Repositorio Institucional de la Consejería de Sanidad de la Comunidad de Madrid Consejería de Sanidad de la Comunidad de Madrid Academica-e. Repositorio Institucional de la Universidad Pública de Navarra instname Journal of NeuroEngineering and Rehabilitation |
| Popis: | Background: Physical frailty has become the center of attention of basic, clinical and demographic research due to its incidence level and gravity of adverse outcomes with age. Frailty syndrome is estimated to affect 20 % of the population older than 75 years. Thus, one of the greatest current challenges in this field is to identify parameters that can discriminate between vulnerable and robust subjects. Gait analysis has been widely used to predict frailty. The aim of the present study was to investigate whether a collection of parameters extracted from the trunk acceleration signals could provide additional accurate information about frailty syndrome. Methods: A total of 718 subjects from an elderly population (319 males, 399 females; age: 75.4 ± 6.1 years, mass: 71.8 ± 12.4 kg, height: 158 ± 6 cm) volunteered to participate in this study. The subjects completed a 3-m walk test at their own gait velocity. Kinematic data were acquired from a tri-axial inertial orientation tracker. Findings: The spatio-temporal and frequency parameters measured in this study with an inertial sensor are related to gait disorders and showed significant differences among groups (frail, pre-frail and robust). A selection of those parameters improves frailty classification obtained to gait velocity, compared to classification model based on gait velocity solely. Interpretation: Gait parameters simultaneously used with gait velocity are able to provide useful information for a more accurate frailty classification. Moreover, this technique could improve the early detection of pre-frail status, allowing clinicians to perform measurements outside of a laboratory environment with the potential to prescribe a treatment for reversing their physical decline. This work was supported in part by the Spanish Department of Health and Institute Carlos III of the Government of Spain [Spanish Net on Aging and frailty; (RETICEF)], and Economy and Competitivity Department of the Government of Spain, under grants numbered RD12/043/0002, and DEP2011-24105, respectively. |
| Databáze: | OpenAIRE |
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