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García-de-Villa S, Neira GGV, Álvarez MN, Huertas-Hoyas E, Ruiz LR, Del-Ama AJ, Sánchez MCR, Jiménez AR. A database with frailty, functional and inertial gait metrics for the research of fall causes in older adults. Sci Data 2023; 10:566. [PMID: 37626053 PMCID: PMC10457385 DOI: 10.1038/s41597-023-02428-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Accepted: 07/28/2023] [Indexed: 08/27/2023] Open
Abstract
The GSTRIDE database contains information of the health status assessment of 163 elderly adults. We provide socio-demographic data, functional and frailty variables, and the outcomes from tests commonly performed for the evaluation of elder people. The database contains gait parameters estimated from the measurements of an Inertial Measurement Unit (IMU) placed on the foot of volunteers. These parameters include the total walking distance, the number of strides and multiple spatio-temporal gait parameters, such as stride length, stride time, speed, foot angles and clearance, among others. The main processed database is stored, apart from MS Excel, in CSV format to ensure their usability. The database is complemented with the raw IMU recordings in TXT format, in order to let researchers test other algorithms of gait analysis. We include the Python programming codes as a base to reproduce or modify them. The database stores data to study the frailty-related parameters that distinguish faller and non-faller populations, and analyze the gait-related parameters in the frail subjects, which are essential topics for the elderly.
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Grants
- FUNDACIÓN MAPFRE "Ayudas a la investigación de Ignacio H. de Larramendi, 2020"
- Spanish Ministry of Science, Grant No. MICROCEBUS RTI2018-095168-B-C55 (MCIU/AEI/FEDER, UE) and NEXTPERCEPTION European Union project funded by ECSEL Joint Undertaking (JU), under grant agreement No.876487 (ECSEL-2019-2-RIA), which receives support from the European Union’s Horizon 2020 research and innovation programm and Finland, Spain (MCIN/AEI PCI2020-112040), Italy, Germany, Czech Republic, Belgium, Netherlands.
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Affiliation(s)
- Sara García-de-Villa
- Spanish National Research Council, Centre for Automation and Robotics (CSIC-UPM), 28500, Arganda del Rey, Spain.
- Universidad Rey Juan Carlos, Department of Signal Theory and Communications, Madrid, 28942, Spain.
| | | | - Marta Neira Álvarez
- Foundation for Research and Biomedical Innovation of the Infanta Sofía Hospital (HUIS), Department of Geriatrics, Madrid, 28702, Spain
| | - Elisabet Huertas-Hoyas
- Universidad Rey Juan Carlos, Department of Physical Therapy, Occupational Therapy, Rehabilitation and Physical Medicine, Madrid, 28922, Spain
| | - Luisa Ruiz Ruiz
- Spanish National Research Council, Centre for Automation and Robotics (CSIC-UPM), 28500, Arganda del Rey, Spain
- Universidad de Alcalá, PhD Student, Alcalá de Henares, 28801, Madrid, Spain
| | - Antonio J Del-Ama
- Universidad Rey Juan Carlos, Electronic Technology Area, Madrid, 28933, Spain
| | | | - Antonio R Jiménez
- Spanish National Research Council, Centre for Automation and Robotics (CSIC-UPM), 28500, Arganda del Rey, Spain
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Álvarez MN, Ruiz ARJ, Neira GGV, Huertas-Hoyas E, Cerda MTE, Delgado LP, Robles ER, Del-Ama AJ, Ruiz-Ruiz L, García-de-Villa S, Rodriguez-Sanchez C. Assessing falls in the elderly population using G-STRIDE foot-mounted inertial sensor. Sci Rep 2023; 13:9208. [PMID: 37280388 DOI: 10.1038/s41598-023-36241-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Accepted: 05/31/2023] [Indexed: 06/08/2023] Open
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; [Formula: see text]) 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.
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Affiliation(s)
- Marta Neira Álvarez
- Department of Geriatrics, Foundation for Research and Biomedical Innovation of the Infanta Sofía Hospital (HUIS), Madrid, 28702, Spain
| | - Antonio R Jiménez Ruiz
- Spanish National Research Council, Centre for Automation and Robotics (CAR), CSIC-UPM, Arganda del Rey, 28500, Spain
| | | | - Elisabet Huertas-Hoyas
- Physical Therapy, Occupational Therapy, Rehabilitation and Physical Medicine Department, Rey Juan Carlos University, Mostoles, 28933, Spain
| | | | | | | | - Antonio J Del-Ama
- School of Experimental Sciences and Technology, Rey Juan Carlos University, Mostoles, 28933, Spain
| | - Luisa Ruiz-Ruiz
- Spanish National Research Council, Centre for Automation and Robotics (CAR), CSIC-UPM, Arganda del Rey, 28500, Spain
- Electronics Department, University of Alcalá (UAH), Alcalá de Henares, 28805, Spain
| | - Sara García-de-Villa
- Spanish National Research Council, Centre for Automation and Robotics (CAR), CSIC-UPM, Arganda del Rey, 28500, Spain
- Electronics Department, University of Alcalá (UAH), Alcalá de Henares, 28805, Spain
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