Autoimmune diseases are chronic, multifactorial conditions. Through machine learning (ML),
a branch of the wider field of artificial intelligence, it is possible to extract patterns within …

Gait assessment is an essential tool for clinical applications not only to diagnose different
neurological conditions but also to monitor disease progression as it contributes to the …

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

Gait is the locomotion attained through the movement of limbs and gait analysis examines
the patterns (normal/abnormal) depending on the gait cycle. It contributes to the …

Falls are a significant problem for persons with multiple sclerosis (PwMS). Yet fall prevention
interventions are not often prescribed until after a fall has been reported to a healthcare …

Revealing human movement requires lightweight, flexible systems capable of detecting
mechanical parameters (like strain and pressure) while being worn comfortably by the user …

Abstract Purpose of Review Measurements obtained during real-world activity by wearable
motion sensors may contribute more naturalistic accounts of clinically meaningful changes …

Abstract Purpose of Review Walking impairments are highly prevalent in persons with
multiple sclerosis (PwMS) and are associated with reduced quality of life. Walking is …

This editorial provides a concise introduction to the methods and applications of inertial
sensors. We briefly describe the main characteristics of inertial sensors and highlight the …

Wearable technology refers to any sensor worn on the person, making continuous and
remote monitoring available to many people with chronic disease, including multiple …