Effect of Sensory Feedback Vibration Stimulation Using an In-Sole Foot Pressure Monitor on Gait
Objective: To investigate the effects of a sensory feedback vibration stimulation device that integrates an insole foot pressure sensor on gait. Background: Foot pressure during…Harnessing Machine Learning to Predict Balance Recovery: A Systematic Review of Training Protocols in Neurological Disorders
Objective: To systematically review training protocols integrating machine learning (ML) models in neurological rehabilitation, focusing on balance recovery predictions and their clinical applicability. Background: Balance…Multimodal and Agentic Simulated AI Patients for Bridging the gap in Parkinson Disease Education
Objective: To develop an AI training platform in PD counseling that utilizes real-time NLP processing, multimodal inputs/outputs, and adaptive reinforcement learning supported by immediate feedback…Predicting Parkinson’s Disease Motor Progression Using Clinical and Digital Data
Objective: To define motor progression subphenotypes in Parkinson’s disease (PD) and evaluates the predictive power of clinical and smartphone data in distinguishing slow from fast…Traditional Deep Brain Stimulation Programming versus Automated Image-Guided Algorithm in Patients with Parkinson’s Disease
Objective: To compare traditional initial deep brain stimulation (DBS) programming with artificial intelligence (AI)-assisted automated image-guided DBS programming algorithm. Background: DBS programming is a complex,…Exploring Deep Learning-Based Facial Analysis for Detecting Parkinsonism
Objective: To explore the feasibility of using deep learning to differentiate individuals with parkinsonism from those without parkinsonism and without cognitive impairment through facial image…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.…Joint Prediction of Motor and Non-motor Deep Brain Stimulation Outcomes using Quantitative Susceptibility Mapping
Objective: To jointly estimate motor and non-motor outcomes of deep brain stimulation using presurgical quantitative susceptibility maps. Background: Parkinson’s disease (PD) patients with motor complications…AI-Based Detection of Tremor and Dystonia Using Deep Learning Models: A Novel Approach
Objective: Primary Objective:To develop and evaluate a machine learning-based model for the accurate classification of tremor and dystonia using video data.Secondary Objectives:To address the shortage…Exploring the Impact of Delayed Neural Feedback on Motor Performance: A Meta-Analysis of Robotic Balance Training Interventions
Objective: To evaluate the effect of delayed neural feedback on motor performance by conducting a meta-analysis of robotic balance training interventions in neurological rehabilitation. Background:…
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