Background Despite being available for more than three decades, quantitative gait analysis
remains largely associated with research institutions and not well leveraged in clinical …

Background and Objectives: Ankle injuries are the most common type of injury in healthy
active individuals. If not treated properly, recurrent sprains can lead to a condition of chronic …

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 Although digital mobility outcomes (DMOs) can be readily calculated from real-
world data collected with wearable devices and ad-hoc algorithms, technical validation is …

To investigate the association between gait speed (GS), cadence (CAD), gait stability ratio
(GSR), and body balance (BB) with falls in a large sample of older adults. The analysis …

We aimed to develop gait standards for gait parameters in school-aged Japanese children
and assess age-related differences in gait patterns and parameters. Children aged 6–12 …

Introduction Gait deficits are debilitating in people with Parkinson's disease (PwPD), which
inevitably deteriorate over time. Gait analysis is a valuable method to assess disease …

Background Hemiparetic gait is characterized by strong asymmetries that can severely affect
the quality of life of stroke survivors. This type of asymmetry is due to motor deficits in the …

Background Walking speed is reduced with aging. However, it is not certain whether the
reduced walking speed is associated with physical and coordination fitness. This study …

Novel sensor technology enables new insights in the neuromechanics of human locomotion
that were previously not possible. Here, we provide a dataset of high-density surface …