Background and objectives: Wearable technologies have added completely new and fast
emerging tools to the popular field of personal gadgets. Aside from being fashionable and …

In recent times, the growth of the Internet of Things (IoT), artificial intelligence (AI), and
Blockchain technologies have quickly gained pace as a new study niche in numerous …

Traditional laboratory experiments, rehabilitation clinics, and wearable sensors offer
biomechanists a wealth of data on healthy and pathological movement. To harness the …

Artificial intelligence, specifically machine learning, has found numerous applications in
computer-aided diagnostics, monitoring and management of neurodegenerative movement …

Recent advancements and major breakthroughs in machine learning (ML) technologies in
the past decade have made it possible to collect, analyze, and interpret an unprecedented …

Freezing of gait (FOG) is a serious gait disturbance, common in mid-and late-stage
Parkinson's disease, that affects mobility and increases fall risk. Wearable sensors have …

The aim of this study was to determine which supervised machine learning (ML) algorithm
can most accurately classify people with Parkinson's disease (pwPD) from speed-matched …

Despite the large number of studies that have investigated the use of wearable sensors to
detect gait disturbances such as Freezing of gait (FOG) and falls, there is little consensus …

Among Parkinson's disease (PD) symptoms, freezing of gait (FoG) is one of the most
debilitating. To assess FoG, current clinical practice mostly employs repeated evaluations …

Recently, quantitative, objective, and easy‐to‐use technology‐based tools that can assess
PD features over long time periods have been developed and generate clinically relevant …