Older people and stroke: a machine learning approach to personalize the rehabilitation of gait

Older people and stroke: a machine learning approach to personalize the rehabilitation of gait

IntroductionStroke is a significant global public health challenge, ranking as the second leading cause of death after heart disease. One of the most debilitating consequences for stroke survivors is the restriction of mobility and walking, which greatly impacts their quality of life. The scientific...

Full description

Saved in:
Bibliographic Details
Main Authors: Elvira Maranesi, Federico Barbarossa, Leonardo Biscetti, Marco Benadduci, Elisa Casoni, Ilaria Barboni, Fabrizia Lattanzio, Lorenzo Fantechi, Daniela Fornarelli, Enrico Paci, Sara Mecozzi, Manuela Sallei, Mirko Giannoni, Giuseppe Pelliccioni, Giovanni Renato Riccardi, Valentina Di Donna, Roberta Bevilacqua
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-05-01
Series:Frontiers in Aging
Subjects:
artificial intelligence
gait parameters
machine learning
medical imaging
neurology
older adults
Online Access:https://www.frontiersin.org/articles/10.3389/fragi.2025.1562355/full
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.frontiersin.org/articles/10.3389/fragi.2025.1562355/full

Similar Items