Improvement of web-based Human Machine Interface (HMI) for enhanced user interaction experience with novel glaucoma detection devices

Diagnosis of glaucoma during the early stages is critical to prevent permanent structural damage and irreversible vision loss. Glaucoma is typically detected through an examination of structural damage to the optic nerve combined with measurements of visual function. This research project aims to focus on the development of an enhanced graphical user interface to perform, monitor, and analyze the visual field examination results for the detection of glaucoma using novel techniques. The graphical user interface will include statistical tools for analyzing the visual field, automated warnings for patients and technicians during visual field examination, a tool to stream the eye movement during the test, and graphical tools to produce the final report. The developed graphical user interface will not only help the technician to reduce the possibility of false detection by continuous monitoring of the eye but also would help the ophthalmologists to analyze the progression of glaucoma in patients by offering a user-friendly graphical interface.

Faculty Supervisor:

Jayme Vianna;Carlos Hernandez Castillo

Student:

Partner:

Eadie Technologies Inc.

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Dalhousie University

Program: