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

Introduction: Accurately assessing people's gait, especially in real-world conditions and in
case of impaired mobility, is still a challenge due to intrinsic and extrinsic factors resulting in …

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 …

Background Wrist-worn inertial sensors are used in digital health for evaluating mobility in
real-world environments. Preceding the estimation of spatiotemporal gait parameters within …

Background Real‐world monitoring using wearable sensors has enormous potential for
assessing disease severity and symptoms among persons with Parkinson's disease (PD) …

Background Gait characteristics are important risk factors for falls, hospitalisations and
mortality in older adults, but the impact of COPD on gait performance remains unclear. We …

Gait analysis serves as a pivotal tool in identifying abnormalities associated with various
disorders. Recently, inertial measurement units (IMUs) have emerged as a feasible tool …

Wearable technology has rapidly advanced, opening new possibilities for context-aware
applications in fields such as healthcare and gait analysis, where distinguishing between …

Accurately assessing people's gait, especially in real-world conditions and in case of
impaired mobility, is still a challenge due to intrinsic and extrinsic factors resulting in gait …

IMUs are increasingly popular devices in gait analysis. Various placements of this type of
sensor have already been explored in the literature, both in a multi-sensor and single …