Personalized exoskeleton assistance provides users with the largest improvements in
walking speed and energy economy,–but requires lengthy tests under unnatural laboratory …

Deep learning biomechanical models perform optimally when trained with large datasets,
however these can be challenging to collect in gait labs, while limited augmentation …

Introduction The frontal plane knee moment (KAM1 and KAM2) derived from non-invasive
three-dimensional gait analysis is a surrogate measure for knee joint load and of great …

Highlights Foot measurements show an insignificant increase at a more rapid walking
speed. Faster walking speed results in higher mean peak plantar pressure in the forefoot …

This study presents population-based multivariate regression models for predicting foot
plantar pressure from easily measured foot metrics in both shod and barefoot populations for …

Purpose The aim of this meta‐analysis was a comparison between medial pivot (MP) and
posterior‐stabilised (PS) knee designs regarding functional and radiological outcomes as …

Background Gait event detection is critical for remote gait analysis. Algorithms using a thigh-
worn accelerometer for estimating spatiotemporal gait variables have demonstrated clinical …

Critical to digital medicine is the promise of improved patient monitoring to allow assessment
and personalized intervention to occur in real-time. Wearable sensor-enabled observation of …

Long-distance running has gained massive popularity in recent years, yet the intra-foot
adaptations during this event remain unclear. This study aimed to examine the kinematic …

This paper presents an automated, wearable sensor-based remote gait analysis method
and demonstrates its utility by evaluating gait in patients recovering from anterior cruciate …