Objective This review aimed to:(I) provide a brief overview of some topical areas of current
literature regarding applications of wearable sensors in the management of low back pain …

Sit-to-stand transition phase identification is vital in the control of a wearable exoskeleton
robot for assisting patients to stand stably. In this study, we aim to propose a method for …

Fatigue is prevalent in immune-mediated inflammatory and neurodegenerative diseases, yet
its assessment relies largely on patient-reported outcomes, which capture perception but not …

Gait speed as a powerful biomarker of mobility is mostly assessed in controlled
environments, eg in the clinic. With wearable inertial sensors, gait speed can be estimated in …

This systematic review and meta-analysis aimed to examine the association between device-
measured physical activity (PA) and performance-based measures of physical function (PF) …

Healthy adults and neurological patients show unique mobility patterns over the course of
their lifespan and disease. Quantifying these mobility patterns could support diagnosing …

Background: Falls are a major cause of injuries in older adults. To evaluate the risk of falls in
older adults, clinical assessments such as the 5-time sit-to-stand (5xSTS) test can be …

In recent years, a plethora of algorithms have been devised for efficient human activity
recognition. Most of these algorithms consider basic human activities and neglect postural …

Background: Stroke leads to motor impairment which reduces physical activity, negatively
affects social participation, and increases the risk of secondary cardiovascular events …

Transition-aware activity recognition is an inherent component of online health monitoring
and ambient assisted living. An explosion of technology breakthroughs in wireless sensor …