After decades of evolution, measuring instruments for quantitative gait analysis have
become an important clinical tool for assessing pathologies manifested by gait …

This paper dispenses an exhaustive review on deep learning techniques used in the
prognosis of eight different neuropsychiatric and neurological disorders such as stroke …

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

This article reviews the use of wearable sensors for the monitoring of physical activity (PA)
for different purposes, including assessment of gait and balance, prevention and/or …

The use of wearable body sensors for health monitoring is a quickly growing field with the
potential of offering a reliable means for clinical and remote health management. This …

Walking impairment resulted by various chronic diseases, disorders and injuries have been
investigated using recent emerging wearable technology, for instance, gait assessment …

Inertial body sensors have emerged in recent years as an effective tool for evaluating
mobility impairment resulting from various diseases, disorders, and injuries. For example …

Recent studies have investigated bilateral gaits based on the causality analysis of kinetic (or
kinematic) signals recorded using both feet. However, these approaches have not …

Most multiple sclerosis (MS) patients eventually suffer from mobility impairment, and thus it is
critical that walking disability in MS be accurately assessed. The six-minute walk test …

The use of wearable devices in healthcare has become increasingly prevalent, with a focus
on monitoring chronic diseases such as heart rate. Researchers have employed various …