Project Overview
This project investigates a Steady-State Visual Evoked Potential (SSVEP)-based brain-computer interface as an objective approach for assessment and monitoring of visual impairment in glaucoma.
Clinical Motivation
Conventional visual-field testing depends on subjective button responses and can show variability between tests. An objective neural-response measure could complement existing clinical assessment and support repeated monitoring.
Objective
Develop a subject-independent, automated SSVEP-based method for diagnosis and monitoring of visual impairment in glaucoma patients.
Proposed Method
- Present controlled visual stimulation, including VR-based visual output where appropriate.
- Record raw EEG during visual stimulation.
- Preprocess EEG signals and extract features that capture SSVEP patterns.
- Correlate SSVEP features with retinal sensitivity and the visual-field condition.
- Investigate the potential for a portable and automated assessment workflow.
Potential Impact
An objective and portable BCI-based neural-response measure could complement subjective visual-field testing and potentially broaden access to repeated visual-function monitoring.
