Machine learning based estimation of dynamic balance and gait adaptability in persons with neurological diseases using inertial sensors.

ABSTRACT: Poor dynamic balance and impaired gait adaptation to different contexts are hallmarks of people with neurological disorders (PwND), leading to difficulties in daily life and increased fall risk. Frequent assessment of dynamic balance and gait adaptability is therefore essential for monitoring the evolution of these impairments and/or the long-term effects of rehabilitation. The modified dynamic gait index (mDGI) is a validated clinical test specifically devoted to evaluating gait facets in clinical settings under a physiotherapist's supervision. The need of a clinical environment, consequently, limits the number of assessments. Wearable sensors are increasingly used to measure balance and locomotion in real-world contexts and may permit an increase in monitoring frequency. This study aims

SUBMITTER: Liuzzi P 

PROVIDER: S-EPMC10224964 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature