Steady-State Visual Evoked Potential (SSVEP)-based Brain Computer Interface for Automated Diagnosis and Monitoring of Glaucoma

Avatar for Vinod A PRASAD
Vinod A PRASAD    
Professor

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Avatar for Dr. Fiona Lim Pin Miao (SNEC)
Dr. Fiona LIM Pin Miao (SNEC)    
Researcher
Avatar for Gina Chui Wen YI
Gina CHUI Wen YI    
Researcher

This project aims to develop an SSVEP-based BCI for objective visual field assessment, supporting early detection and monitoring of glaucoma.

Traditional visual field assessment methods, such as Standard Automated Perimetry, depend on subjective responses using a clicker, resulting in high variability between trials. Clinics often face bottlenecks in visual field rooms, causing delays in treatment and monitoring.

Project Deliverables/Outcomes/Impact:
  • Improved standard of care within hospitals and the community by addressing long waiting times for arranging appointments and conducting visual field assessments.



     

 

A Brain-Computer Interface (BCI) system diagram. It shows an Emotiv EPOC X EEG headset and an Oculus Quest 2 VR headset worn by a user. EEG data flows to a laptop, while the VR headset facilitates eye tracking and visual output, all connected through a Unity environment.