User-Centric Mixed Reality Interventions for Parkinson’s Tremor Management: A Path Toward Digital Therapeutics
Keywords: Augmented Reality, Mixed Reality, Hand Rehabilitation, Parkinson’s Disease, Assistive Device, Haptic Feedback
TL;DR: This paper introduces a mixed reality (MR) system leveraging real-time motion tracking and haptic feedback to enhance tremor rehabilitation for Parkinson’s disease through personalized and immersive motor training.
Abstract: Mixed reality (MR) presents a promising frontier in rehabilitation sciences, particularly for addressing motor impairments associated with Parkinson’s disease (PD). This paper explores the integration of an MR-based interactive rehabilitation system with an ergonomic hand-support device, designed to facilitate tremor stabilization and enhance fine motor control. By leveraging real-time sensor feedback and dynamic exercise progression, the system fosters an adaptive and engaging therapeutic environment. Conventional rehabilitation methods have demonstrated limited efficacy in addressing the progressive nature of PD-related tremors, with studies reporting that over 60% of patients experience difficulty in executing daily motor tasks. Through an iterative development process informed by expert consultation and patient feedback, the proposed approach emphasizes usability and clinical feasibility. Although preliminary in scope, this study provides a foundational framework for MR-assisted rehabilitation and suggests future pathways for incorporating artificial intelligence (AI) to refine adaptive therapeutic interventions. The findings contribute to the growing discourse on digital health innovation, underscoring MR’s potential in augmenting traditional rehabilitation strategies through immersive, user-centered methodologies.
Submission Number: 9
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