This paper firstly introduces common wearable sensors, smart wearable devices and the key
application areas. Since multi-sensor is defined by the presence of more than one model or …

This paper reviews the recent literature on technologies and methodologies for quantitative
human gait analysis in the context of neurodegenerative diseases. The use of technological …

Accurate physical activity monitoring is essential to understand the impact of physical activity
on one's physical health and overall well-being. However, advances in human activity …

Background: Sensor-based monitoring tools fill a critical gap in multiple sclerosis (MS)
research and clinical care. Objective: The aim of this study is to assess performance …

Pain is a complex and personal experience that presents diverse measurement challenges.
Different sensing technologies can be used as a surrogate measure of pain to overcome …

This study examined the effectiveness of a vision-based framework for multiple sclerosis
(MS) and Parkinson's disease (PD) gait dysfunction prediction. We collected gait video data …

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

Abstract Machine learning (ML) and its subset, deep learning (DL), are branches of artificial
intelligence (AI) showing promising findings in the medical field, especially when applied to …

Digital measures of health status captured during daily life could greatly augment current in-
clinic assessments for rheumatoid arthritis (RA), to enable better assessment of disease …

Gait disorders are disorders related to the movement of a person which often leads to the
inability to walk. Wearable technology in the form of consumer smart wearable devices can …