Abstract Machine learning approaches have been used for the automatic detection of
Parkinson's disease with voice recordings being the most used data type due to the simple …

The prevalence and global health burden of dementia including Alzheimer's disease (AD) is
rising, while patients living in remote and underserved areas face significant challenges in …

Background: Digital self-management tools including mobile apps and wearables can
enhance personalized care in Parkinson's disease, and incorporating patient and clinician …

Bradykinesia is a cardinal hallmark of Parkinson's disease (PD). Improvement in
bradykinesia is an important signature of effective treatment. Finger tapping is commonly …

Upper-limb bradykinesia occurs early in Parkinson's disease (PD) and bradykinesia is
required for diagnosis. Our goal was to develop, implement and validate a game “walking” a …

Introduction The clinical implementation of chronic electrophysiology-driven adaptive deep
brain stimulation (DBS) algorithms in movement disorders requires reliable representation of …

Patients with movement disorders such as Parkinson's disease (PD) living in remote and
underserved areas often have limited access to specialized healthcare, while the feasibility …

Background: To address the high prevalence of health disparities and lack of research
opportunities among rural and minority communities, the University of Arkansas for Medical …

Background: Digitalization in healthcare has been extended to how we examine and
manage Parkinson's Disease Mild Cognitive Impairment (PD-MCI). Methods: Moyer …

Background: Impaired motor and cognitive function can make travel cumbersome for People
with Parkinson's disease (PwPD). Over 50% of PwPD cared for at the University of Arkansas …