Background Wearable sensor technologies have the potential to improve monitoring in
people with multiple sclerosis (MS) and inform timely disease management decisions …

Background A moderate to high level of physical activity, including regular exercise,
represents an established behavioral and rehabilitative approach for persons with multiple …

Background and purpose Recent findings suggest that a gait assessment at a discrete
moment in a clinic or laboratory setting may not reflect functional, everyday mobility. As a …

Balance impairment and falls are among the most prevalent and morbid conditions affecting
older adults. A critical contributor to balance and gait function is the vestibular system; …

Background Motor and cognitive impairments impact the everyday functioning of people with
MS (pwMS). The present randomized controlled trial (RCT) evaluated the benefits of a …

This study aimed to validate a wearable device's walking speed estimation pipeline,
considering complexity, speed, and walking bout duration. The goal was to provide …

Gait disability in people with progressive multiple sclerosis (MS) is difficult to quantify using
existing clinical tools. This study aims to identify reliable and objective gait-based …

In this study, a novel graph-based hybrid deep learning model of cumulative GRU and
deeper GCN was proposed to discover the most representative spatial–temporal gait …

Phenotype is the set of observable traits of an organism or condition. While advances in
genetics, imaging, and molecular biology have improved our understanding of the …

Introduction Advances in wearable sensor technology now enable frequent, objective
monitoring of real-world walking. Walking-related digital mobility outcomes (DMOs), such as …