Automated Pupillary Light Reflex Test on a Portable Platform

Autor:	Temel, Dogancan, Mathew, Melvin J., AlRegib, Ghassan, Khalifa, Yousuf M.
Rok vydání:	2019
Předmět:	Electrical Engineering and Systems Science - Image and Video Processing Computer Science - Computer Vision and Pattern Recognition Electrical Engineering and Systems Science - Signal Processing I.4
Zdroj:	International Symposium on Medical Robotics (ISMR), Atlanta, GA, USA, 2019, pp. 1-7
Druh dokumentu:	Working Paper
DOI:	10.1109/ISMR.2019.8710182
Popis:	In this paper, we introduce a portable eye imaging device denoted as lab-on-a-headset, which can automatically perform a swinging flashlight test. We utilized this device in a clinical study to obtain high-resolution recordings of eyes while they are exposed to a varying light stimuli. Half of the participants had relative afferent pupillary defect (RAPD) while the other half was a control group. In case of positive RAPD, patients pupils constrict less or do not constrict when light stimuli swings from the unaffected eye to the affected eye. To automatically diagnose RAPD, we propose an algorithm based on pupil localization, pupil size measurement, and pupil size comparison of right and left eye during the light reflex test. We validate the algorithmic performance over a dataset obtained from 22 subjects and show that proposed algorithm can achieve a sensitivity of 93.8% and a specificity of 87.5%. Comment: 7 pages, 11 figures, 3 tables
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1905.08886 Zobrazit plný text záznamu View this record from Arxiv