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Abstract #94241 Published in IGR 22-2
Pupillometric recordings to detect glaucoma
Bhowmik S; Arjunan SP; Sarossy M; Radcliffe P; Kumar DKPhysiological Measurement 2021; 42:
. Glaucoma is the second cause of vision loss with early diagnosis having significantly better prognosis. We propose the use of hippus, the steady-state pupil oscillations, obtained from an eye-tracker for computerised detection of glaucoma.. Pupillary data were recorded using a commercial eye-tracker device directly to the laptop. A total of 40 glaucoma patients and 30 age-matched controls were recruited for the study. The signals were de-noised, and the entropy of the steady-state oscillations was obtained for two light intensities, 34 and 100 cd m.. The results show that at 100 cd m, there was significant difference (p < 0.05) between the sample entropy of the healthy eyes (0.55 ± 0.017) and glaucoma eyes (0.7 ± 0.034). The results at 34 cd mwere also significantly different, though to a lesser extent.. Entropy of the pupillary oscillations, or hippus, obtained using an eye-tracking device showed a significant difference between glaucoma and healthy eyes. The method used commercially available inexpensive hardware and thus has the potential for wide-scale deployment for computerized detection of glaucoma.
RMIT University, School of Engineering, Melbourne, 3000, Australia.
Full articleClassification:
2.8 Iris (Part of: 2 Anatomical structures in glaucoma)
6.8.1 Anterior segment (Part of: 6 Clinical examination methods > 6.8 Photography)
