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

Introduction: Mobility and balance impairments in patients with multiple sclerosis (MS) are
major factors for decreased quality of life. Novel sensing technologies have great potential to …

Gait impairment in multiple sclerosis (MS) can result from muscle weakness, physical
fatigue, lack of coordination, and other symptoms. Walking speed, as measured by a number …

The classification of human activities in real-time is an essential task of Human Activity
Recognition (HAR). For the deployment of HAR systems on devices like smartphones and …

An important field within Human Activity Recognition is the evaluation of disease and patient
recovery through the assessment of gait patterns. Clustering has been used as a data …

The developments in signal processing, data mining, and machine learning tools, supported
by the advent of body sensor networks, capable of collecting high-precision and continuous …

Multiple sclerosis (MS) fatigue is a multifaceted phenomenon that is difficult to describe,
portray and monitor. The correspondence between fatigue and fatigability remains …

Health monitoring has entered the era of precision medicine. With support from President
Obama's Precision Medicine Initiative, the National Institutes of Health have renewed their …