Cargando…
Trip-Related Fall Risk Prediction Based on Gait Pattern in Healthy Older Adults: A Machine-Learning Approach
Trip perturbations are proposed to be a leading cause of falls in older adults. To prevent trip-falls, trip-related fall risk should be assessed and subsequent task-specific interventions improving recovery skills from forward balance loss should be provided to the individuals at risk of trip-fall....
Autores principales: | Wang, Shuaijie, Nguyen, Tuan Khang, Bhatt, Tanvi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10301259/ https://www.ncbi.nlm.nih.gov/pubmed/37420703 http://dx.doi.org/10.3390/s23125536 |
Ejemplares similares
-
Perturbation Training for Fall-Risk Reduction in Healthy Older Adults: Interference and Generalization to Opposing Novel Perturbations Post Intervention
por: Bhatt, Tanvi, et al.
Publicado: (2021) -
Neuromuscular mechanisms of motor adaptation to repeated gait-slip perturbations in older adults
por: Wang, Shuaijie, et al.
Publicado: (2022) -
Near-Fall Detection in Unexpected Slips during Over-Ground Locomotion with Body-Worn Sensors among Older Adults
por: Wang, Shuaijie, et al.
Publicado: (2022) -
XGBoost based machine learning approach to predict the risk of fall in older adults using gait outcomes
por: Noh, Byungjoo, et al.
Publicado: (2021) -
Reliability of Bluetooth inertial sensors for assessing lower limb segment angles and stride length during gait
por: Pitts, Jessica, et al.
Publicado: (2022)