Application of Multi-Camera Videography for Detecting PD-related Gait Deficiencies
Objective: To identify and measure PD-specific gait signals in multi-camera videos for differentiating PD vs control (non-PD), without using specialized equipment (e.g., motion capture). Background:…Parkinson’s disease motor phenotypes delineated by pallidal and subthalamic neurophysiology and machine learning
Objective: The objective of this study was to develop a machine learning (ML) algorithm capable of predicting motor phenotypes in Parkinson's disease (PD) using intraoperative…Improved Decision-Making for In-Hospital Medication Management in Parkinson’s Disease
Objective: To enhance clinical decision-making in PD management by developing and validating a conformal prediction framework that forecasts Levodopa Equivalent Daily Dose (LEDD) changes with…Wearable-based Virtual Motor Exam enables remote tracking of motor symptom progression in early-stage Parkinson’s disease
Objective: To evaluate the ability of smartwatch-based measures of tremor, bradykinesia and gait to capture Parkinson’s disease (PD) progression. Background: Wearable sensors enable remote, objective,…A Mixed Reality Multimodal System for Objective Assessment of Motor and Cognitive Functions in Neurodegenerative Diseases
Objective: This study aimed to develop an immersive system using Microsoft HoloLens 2 for assessing motor and cognitive functions by integrating speech, movement, and eye-tracking…Dopaminometer: A Smartphone-Based Application to Predict Striatal Dopaminergic Deficit in Prodromal and Manifest Parkinson’s disease
Objective: To assess the feasibility of a smartphone-based application (“Dopaminometer”) for predicting abnormal vs. normal dopamine transporter (DaT) scans and dopaminergic ratios in individuals with…Characterization of Autonomic Dysfunction Profiles in Early Parkinson’s disease
Objective: To characterize autonomic dysfunction in early Parkinson’s disease (PD) in order to improve early PD diagnosis. Background: Parkinson’s disease (PD) is a progressive neurodegenerative…Integration of Multivariate Time Series Analysis in Assessing Balance Control: A Comprehensive Review of Current Research
Objective: To review the application of multivariate time series (MTS) analysis in assessing balance control and its potential for improving rehabilitation strategies. Background: Balance control…Artificial Intelligence in the Early Detection of Parkinson’s Disease: Advances, Challenges, and Future Perspectives
Objective: This study reviews AI’s role in early PD detection, comparing AI-driven diagnostic methods with conventional clinical approaches in accuracy, reliability, and applicability. Background: Parkinson’s…Leveraging a Smartphone-based Platform for Parkinson’s disease Real-world Research: A Multicenter, Cross-sectional Feasibility Assessment Study
Objective: To evaluate the feasibility of a smartphone-based platform for remote patient-reported outcome (PRO) collection in Parkinson’s disease (PD) and explore its utility in identifying…
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