Relationship of Community Mobility, Vital Space, and Faller Status in Older Adults
2024
Artículo
en
ISSN-1424-8220
Notas
INDEXACION: SCOPUS
Resumen
Community mobility, encompassing both active (e.g., walking) and passive (e.g., driving) transport, plays a crucial role in maintaining autonomy and social interaction among older adults. This study aimed to quantify community mobility in older adults and explore the relationship between GPS- and accelerometer-derived metrics and fall risk. Methods: A total of 129 older adults, with and without a history of falls, were monitored over an 8 h period using GPS and accelerometer data. Three experimental conditions were evaluated: GPS data alone, accelerometer data alone, and a combination of both. Classification models, including Random Forest (RF), Support Vector Machines (SVMs), and K-Nearest Neighbors (KNN), were employed to classify participants based on their fall history. Results: For GPS data alone, RF achieved 74% accuracy, while SVM and KNN reached 67% and 62%, respectively. Using accelerometer data, RF achieved 95% accuracy, and both SVM and KNN achieved 90%. Combining GPS and accelerometer data improved model performance, with RF reaching 97% accuracy, SVM achieving 95%, and KNN 87%. Conclusion: The integration of GPS and accelerometer data significantly enhances the accuracy of distinguishing older adults with and without a history of falls. These findings highlight the potential of sensor-based approaches for accurate fall risk assessment in community-dwelling older adults. © 2024 by the authors.
Citación
Sensors, Volume 24, Issue 23, Article number 7651, December 2024, DOI: 10.3390/s24237651
Editor
Multidisciplinary Digital Publishing Institute (MDPI)
Palabras clave
Mas detalles del registro
Agradecimientos
The PhD work was was supported by the National Agency for Research and Development (ANID) through the National Scholarship Program: Becas Doctorado Nacional 2024— 21241885. Additional support was provided by the PhD Program in Health Sciences and Engineering, Universidad de Valparaíso
Folio/s de proyecto/s
ANID Becas Doctorado Nacional 2024— (21241885)
Licencia CC
Attribution 4.0 International (CC BY 4.0)
Licencia CC
https://creativecommons.org/licenses/by/4.0/