Quinn Pham, Danila Seliayeu, et al.
CASCON 2024
Parkinson's Disease (PD) is one of the most critical neurodegenerative diseases, yet there is no cure for it, and the state-of-the-art treatment is to slow its progression. Thus, the earlier a patient with PD is recognized, the better he can be treated. Our project joins the research effort that aims to support early PD diagnosis by designing a Virtual Reality (VR)-based system to monitor pupil diameter patterns as new biomarkers (e.g., Pupil Light Reflex and Task-evoked Pupil Response) and provide early warning of potential PD onset. A follow-up experiment with 55 participants shows that the accuracy of recognizing early PD from healthy controls could reach 0.8942. Our study shows early results of a promising research direction that leverages VR-based technology to non-intrusively recognize patterns and provide alerts to early PD patients who would otherwise not know their symptoms until much later.
Quinn Pham, Danila Seliayeu, et al.
CASCON 2024
Sonia Cafieri, Jon Lee, et al.
Journal of Global Optimization
Daniel Bauer, Luis Garcés Erice, et al.
VLDB 2026
Fan Jing Meng, Ying Huang, et al.
ICEBE 2007