دورية أكاديمية
Assessing falls in the elderly population using G-STRIDE foot-mounted inertial sensor
| العنوان: | Assessing falls in the elderly population using G-STRIDE foot-mounted inertial sensor |
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| المؤلفون: | Neira Álvarez, Marta, Jiménez Ruíz, Antonio Ramón, García Villamil, Guillermo, Huertas-Hoyas, Elisabet, Espinoza Cerda, Maria Teresa, Pérez Delgado, Laura, Reina Robles, Elena, Del Ama Espinosa, Antonio José, Ruiz Ruiz, Luisa, García de Villa, Sara, Rodríguez Sánchez, Cristina |
| المساهمون: | Ministerio de Ciencia e Innovación, European Commission, Fundación Mapfre, Neira Álvarez, Marta, Jiménez Ruíz, Antonio Ramón, García Villamil, Guillermo, Huertas-Hoyas, Elisabet, Espinoza Cerda, Maria Teresa, Pérez Delgado, Laura, Reina Robles, Elena, Del Ama Espinosa, Antonio José, Ruiz Ruiz, Luisa, García de Villa, Sara {, Rodríguez Sánchez, Cristina |
| بيانات النشر: | Springer Nature |
| سنة النشر: | 2023 |
| المجموعة: | Digital.CSIC (Consejo Superior de Investigaciones Científicas / Spanish National Research Council) |
| مصطلحات موضوعية: | Health occupations, Engineering, Health care, Geriatrics |
| الوصف: | Falls are one of the main concerns in the elderly population due to their high prevalence and associated consequences. Guidelines for the management of the elder with falls are comprised of multidimensional assessments, especially gait and balance. Daily clinical practice needs for timely, effortless, and precise tools to assess gait. This work presents the clinical validation of the G-STRIDE system, a 6-axis inertial measurement unit (IMU) with onboard processing algorithms, that allows the calculation of walking-related metrics correlated with clinical markers of fall risk. A cross-sectional case-control study was conducted with 163 participants (falls and non-falls groups). All volunteers were assessed with clinical scales and conducted a 15-min walking test at a self-selected pace while wearing the G-STRIDE. G-STRIDE is a low-cost solution to facilitate the transfer to society and clinical evaluations. It is open hardware and flexible and, thus, has the advantage of providing runtime data processing. Walking descriptors were derived from the device, and a correlation analysis was conducted between walking and clinical variables. G-STRIDE allowed measuring walking parameters in non-restricted walking conditions (e.g. hallway). Walking parameters statistically discriminate between falls and non-falls groups. We found good/excellent estimation accuracy (ICC = 0.885; p<0.000) for walking speed, showing good/excellent correlation between gait speed and several clinical variables. G-STRIDE can calculate walking-related metrics that allow for discrimination between falls and non-falls groups, which correlates with clinical indicators of fall risk. A preliminary fall-risk assessment based on the walking parameters was found to improve the Timed Up and Go test in the identification of fallers. ; Spanish Ministry of Science, Grants No. MICROCEBUS RTI2018-095168-B-C55 and INDRI PID2021-122642OB-C43 (MCIU/AEI/10.13039/501100011033/FEDER, UE) and NEXTPERCEPTION European Union NextGenerationEU/PRTR project funded by ... |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| تدمد: | 2045-2322 |
| العلاقة: | #PLACEHOLDER_PARENT_METADATA_VALUE#; info:eu-repo/grantAgreement/EC/H2020/876487 (ECSEL-2019-2-RIA); https://doi.org/10.1038/s41598-023-36241-xTest; Sí; http://hdl.handle.net/10261/347848Test |
| الإتاحة: | https://doi.org/10.1038/s41598-023-36241-xTest http://hdl.handle.net/10261/347848Test |
| حقوق: | open |
| رقم الانضمام: | edsbas.591F4C87 |
| قاعدة البيانات: | BASE |
Full Text Finder | تدمد: | 20452322 |
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