Wearable devices offer the potential to track motor symptoms in neurological disorders.
Kinematic data used together with machine learning algorithms can accurately identify …

Poor dynamic balance and impaired gait adaptation to different contexts are hallmarks of
people with neurological disorders (PwND), leading to difficulties in daily life and increased …

Background Assessment of gait function in People with Parkinson Disease (PwPD) is an
important tool for monitoring disease progression in PD. While comprehensive gait analysis …

Objective To avoid deviation caused by the traditional scale method, the present study
explored the accuracy, advantages, and disadvantages of different objective detection …

Introduction Specific functional assessments to determine the progression of Parkinson's
Disease (PD) are important to slow down such progression and better plan rehabilitation …

Anticipating the detection of Parkinson's Disease is critical to delay its effects. This paper
presents the design of a radar network for the early-detection of Parkinson's Disease …

Human voluntary movement stems from the coordinated activations in space and time of
many musculoskeletal segments. However, the current methodological approaches to study …

Background Quantitative 3D movement analysis using inertial measurement units (IMUs)
allows for a more detailed characterization of motor patterns than clinical assessment alone …

Background Autism spectrum disorder (ASD) is a highly heritable neurodevelopmental
disorder. Research has shown that parents and relatives of children with ASD often exhibit …

Background Gait is one of the activities most affected by the symptoms of Parkinson's
disease and may show a linear decline as the disease progresses. Early assessment of its …