Abstract
Glaucoma is a leading cause of irreversible visual field loss. The early detection and diagnosis of the disease are therefore necessary to prevent blindness. Pupillary light responses are an interesting new technique for the detection of glaucoma. However, the analysis of pupillary signals has been associated with manual supervision or involved high computational costs. The present paper is to propose an analysis framework to automatically investigate changes in the complexity of pupillary signals under ambient light conditions for the screening of glaucoma. In this work, pupillary data of 13 glaucoma patients, 13 age-matched controls, and 11 young controls were recorded at the light intensity of 100 cd/m2 using a commercial eye tracker. The pupillary complexity of the participants was analysed using Higuchi’s fractal dimension, permutation entropy, and conditional entropy. We found that there was a statistically significant difference in the pupillary complexity between glaucoma patients and control groups (P < 0.0001). Specifically, the difference was more pronounced when using the fractal dimension measure. These results confirm the potential of using pupillary complexity for the screening of glaucoma using commercial devices.
Highlights
Glaucoma is characterised by an optic neuropathy associated with loss of the visual field
We propose the analysis of the complexity of pupillary signals in patients with glaucoma using Higuchi’s fractal dimension (FD), permutation entropy, and conditional entropy in the present study
The pupillary dataset in this study was composed of 260 samples of glaucoma eyes, 260 samples of the age-matched healthy eyes, and 220 samples of healthy eyes of young people
Summary
Glaucoma is characterised by an optic neuropathy associated with loss of the visual field. The disease is the second largest leading cause of irreversible vision loss worldwide. Glaucoma affected over 60 million people in 2010 [1]. This number will increase to more than 111 million in 2040 [2]. Diagnosis and treatment of glaucoma play a vital role in the prevention of vision loss for millions of people. The common glaucoma tests are tonometry, gonioscopy, ophthalmoscopy, perimetry, optical coherence tomography, and pachymetry. Optical coherence tomography can identify the disease accurately [4]. These tests are generally available only at ophthalmology clinics
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
