A machine learning method to process voice samples for identification of Parkinson's disease
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 …
Parkinson's disease with voice recordings being the most used data type due to the simple …
Telemedicine in Alzheimer's disease and other dementias: Where we are?
E Angelopoulou… - Journal of Alzheimer's …, 2024 - journals.sagepub.com
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 …
rising, while patients living in remote and underserved areas face significant challenges in …
Self-Management Systems for Patients and Clinicians in Parkinson's Disease Care: A Sco** Review
S Boege, M Milne-Ives… - Journal of …, 2024 - journals.sagepub.com
Background: Digital self-management tools including mobile apps and wearables can
enhance personalized care in Parkinson's disease, and incorporating patient and clinician …
enhance personalized care in Parkinson's disease, and incorporating patient and clinician …
A first methodological development and validation of ReTap: An open-source UPDRS finger tap** assessment tool based on accelerometer-data
Bradykinesia is a cardinal hallmark of Parkinson's disease (PD). Improvement in
bradykinesia is an important signature of effective treatment. Finger tap** is commonly …
bradykinesia is an important signature of effective treatment. Finger tap** is commonly …
Development and implementation of the frog-in-maze game to study upper limb movement in people with Parkinson's disease
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 …
required for diagnosis. Our goal was to develop, implement and validate a game “walking” a …
Improving naturalistic neuroscience with patient engagement strategies
Introduction The clinical implementation of chronic electrophysiology-driven adaptive deep
brain stimulation (DBS) algorithms in movement disorders requires reliable representation of …
brain stimulation (DBS) algorithms in movement disorders requires reliable representation of …
Neurological Examination via Telemedicine: An Updated Review Focusing on Movement Disorders
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 …
underserved areas often have limited access to specialized healthcare, while the feasibility …
[HTML][HTML] Rural Research Network to engage rural and minority community members in translational research
PA McElfish, R Liston, V Smith, AK Norris… - Journal of Clinical …, 2023 - ncbi.nlm.nih.gov
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 …
opportunities among rural and minority communities, the University of Arkansas for Medical …
[PDF][PDF] Automatic Parkinson's disease detection from speech: Layer selection vs adaptation of foundation models
In this work, we investigate Speech Foundation Models (SFMs) for Parkinson's Disease (PD)
detection. We explore two main approaches:(1) using SFMs as frozen feature extractors …
detection. We explore two main approaches:(1) using SFMs as frozen feature extractors …
A systematic review of the effectiveness of digital cognitive assessments of cognitive impairment in Parkinson's disease
Background: Digitalization in healthcare has been extended to how we examine and
manage Parkinson's Disease Mild Cognitive Impairment (PD-MCI). Methods: Moyer …
manage Parkinson's Disease Mild Cognitive Impairment (PD-MCI). Methods: Moyer …