Assessing falls in the elderly population using G-STRIDE foot-mounted inertial sensor
Abstract 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,...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2023-06-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-023-36241-x |
| _version_ | 1797806731635458048 |
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| author | Marta Neira Álvarez Antonio R. Jiménez Ruiz Guillermo García-Villamil Neira Elisabet Huertas-Hoyas Maria Teresa Espinoza Cerda Laura Pérez Delgado Elena Reina Robles Antonio J. del-Ama Luisa Ruiz-Ruiz Sara García-de-Villa Cristina Rodriguez-Sanchez |
| author_facet | Marta Neira Álvarez Antonio R. Jiménez Ruiz Guillermo García-Villamil Neira Elisabet Huertas-Hoyas Maria Teresa Espinoza Cerda Laura Pérez Delgado Elena Reina Robles Antonio J. del-Ama Luisa Ruiz-Ruiz Sara García-de-Villa Cristina Rodriguez-Sanchez |
| author_sort | Marta Neira Álvarez |
| collection | DOAJ |
| description | Abstract 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; $$p<0.000$$ 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. |
| first_indexed | 2024-03-13T06:11:45Z |
| format | Article |
| id | doaj.art-b20f978bad4f4757888a3ddb3c4dfff8 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-03-13T06:11:45Z |
| publishDate | 2023-06-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-b20f978bad4f4757888a3ddb3c4dfff82023-06-11T11:12:46ZengNature PortfolioScientific Reports2045-23222023-06-0113111210.1038/s41598-023-36241-xAssessing falls in the elderly population using G-STRIDE foot-mounted inertial sensorMarta Neira Álvarez0Antonio R. Jiménez Ruiz1Guillermo García-Villamil Neira2Elisabet Huertas-Hoyas3Maria Teresa Espinoza Cerda4Laura Pérez Delgado5Elena Reina Robles6Antonio J. del-Ama7Luisa Ruiz-Ruiz8Sara García-de-Villa9Cristina Rodriguez-Sanchez10Department of Geriatrics, Foundation for Research and Biomedical Innovation of the Infanta Sofía Hospital (HUIS)Spanish National Research Council, Centre for Automation and Robotics (CAR), CSIC-UPMSpanish National Research Council, Centre for Automation and Robotics (CAR), CSIC-UPMPhysical Therapy, Occupational Therapy, Rehabilitation and Physical Medicine Department, Rey Juan Carlos UniversityGeriatrics’s Department, Hospital Universitario de GetafePhysiotherapy Department, R. Gascon BaqueroPhysiotherapy Department, R. TorrelagunaSchool of Experimental Sciences and Technology, Rey Juan Carlos UniversitySpanish National Research Council, Centre for Automation and Robotics (CAR), CSIC-UPMSpanish National Research Council, Centre for Automation and Robotics (CAR), CSIC-UPMSchool of Experimental Sciences and Technology, Rey Juan Carlos UniversityAbstract 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; $$p<0.000$$ 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.https://doi.org/10.1038/s41598-023-36241-x |
| spellingShingle | Marta Neira Álvarez Antonio R. Jiménez Ruiz Guillermo García-Villamil Neira Elisabet Huertas-Hoyas Maria Teresa Espinoza Cerda Laura Pérez Delgado Elena Reina Robles Antonio J. del-Ama Luisa Ruiz-Ruiz Sara García-de-Villa Cristina Rodriguez-Sanchez Assessing falls in the elderly population using G-STRIDE foot-mounted inertial sensor Scientific Reports |
| title | Assessing falls in the elderly population using G-STRIDE foot-mounted inertial sensor |
| title_full | Assessing falls in the elderly population using G-STRIDE foot-mounted inertial sensor |
| title_fullStr | Assessing falls in the elderly population using G-STRIDE foot-mounted inertial sensor |
| title_full_unstemmed | Assessing falls in the elderly population using G-STRIDE foot-mounted inertial sensor |
| title_short | Assessing falls in the elderly population using G-STRIDE foot-mounted inertial sensor |
| title_sort | assessing falls in the elderly population using g stride foot mounted inertial sensor |
| url | https://doi.org/10.1038/s41598-023-36241-x |
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