Background falls and fall-related injuries are common in older adults, have negative effects
on functional independence and quality of life and are associated with increased morbidity …

We systematically reviewed observational and clinical trials (baseline) studies examining
differences in gait parameters between Parkinson's disease (PD) in on-medication state and …

The aim of this study was to determine which supervised machine learning (ML) algorithm
can most accurately classify people with Parkinson's disease (pwPD) from speed-matched …

Background Mobility is one major component of healthy ageing of older persons. It includes
gait speed, nowadays valued as the sixth vital sign of ageing. Quantitative gait analysis can …

Gait performance is an important marker of motor and cognitive decline in older adults. An
instrumented gait analysis resorting to inertial sensors allows the complete evaluation of …

The aim of this study was to assess the ability of multiscale sample entropy (MSE), refined
composite multiscale entropy (RCMSE), and complexity index (CI) to characterize gait …

Aim The main purpose of the present study was to verify the feasibility of wearable inertial
sensors (IMUs) in a clinical setting to screen gait and functional mobility in Italian older …

Background Preservation of mobility and fall prevention have a high priority in geriatric
rehabilitation. Square-Step** Exercise (SSE) as an evaluated and standardized program …

Abstract Background Harmonic ratios (HRs), recurrence quantification analysis in the antero-
posterior direction (RQA detAP), and stride length coefficient of variation (CV) have recently …

Objective This study aimed to evaluate the comparative effectiveness and ranking of robot-
assisted training, virtual reality, and robot-assisted rehabilitation combined with virtual reality …