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,…Leveraging Duty-cycle Based Programming for Deep Brain Stimulation
Objective: Provide a review of duty-cycle based programming, also referred to as “cycling” (CycPm), and its potential role in DBS for movement disorders. Background: Continuous…Clinical Experience with Mixed System Deep Brain Stimulation (DBS): Retrospective Analysis
Objective: In this retrospective analysis, we aim to evaluate adverse events with mixed system DBS and rate of off-label clinical MRI. Background: The use of…Clinical validity of a digital toolkit combining active and passive assessments in early Parkinson’s Disease
Objective: We evaluated clinical validity of smartphone-administered active assessments and passive measures of motor function in early Parkinson’s Disease (PD) designed for in-home remote use.…Effectiveness of Light Touch Support Device in Assisting Activities of Daily Living: A Pilot Study
Objective: To evaluate the effectiveness of a pneumatic actuator to assist Parkinson's disease patients in daily life activities. Background: Parkinson's disease patients may face difficulty…Dietary and Environmental Risk factors of Parkinson’s Disease: An integrated study combining Network Pharmacology and Molecular Docking Analyses
Objective: This large-scale case-control study using network pharmacology and molecular docking, aimed to identify dietary and environmental risk factors of Parkinson’s disease (PD). Background: PD…Interpretable Video Analysis for Movement Disorders, A Case Study of Essential Tremor vs. Cortical Myoclonus
Objective: To demonstrate the feasibility of data-driven models for discovering interpretable movement features relevant to Essential Tremor (ET) vs Cortical Myoclonus (CM) diagnosis using video.…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…
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