Pupillary Complexity for the Screening of Glaucoma
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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2021-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9584846/ |
| _version_ | 1818394985116991488 |
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| author | Quoc Cuong Ngo Susmit Bhowmik Marc Sarossy Dinesh Kant Kumar |
| author_facet | Quoc Cuong Ngo Susmit Bhowmik Marc Sarossy Dinesh Kant Kumar |
| author_sort | Quoc Cuong Ngo |
| collection | DOAJ |
| description | 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/m<sup>2</sup> 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. |
| first_indexed | 2024-12-14T06:09:54Z |
| format | Article |
| id | doaj.art-2b70190c539e4f4e9b5463e0892a0b07 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-14T06:09:54Z |
| publishDate | 2021-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-2b70190c539e4f4e9b5463e0892a0b072022-12-21T23:14:10ZengIEEEIEEE Access2169-35362021-01-01914487114487910.1109/ACCESS.2021.31220799584846Pupillary Complexity for the Screening of GlaucomaQuoc Cuong Ngo0Susmit Bhowmik1Marc Sarossy2Dinesh Kant Kumar3https://orcid.org/0000-0003-3602-4023School of Engineering, STEM College, RMIT University, Melbourne, VIC, AustraliaSchool of Engineering, STEM College, RMIT University, Melbourne, VIC, AustraliaSchool of Engineering, STEM College, RMIT University, Melbourne, VIC, AustraliaSchool of Engineering, STEM College, RMIT University, Melbourne, VIC, AustraliaGlaucoma 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/m<sup>2</sup> 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.https://ieeexplore.ieee.org/document/9584846/Complexitydetectionentropyfractal dimensionglaucomapupil |
| spellingShingle | Quoc Cuong Ngo Susmit Bhowmik Marc Sarossy Dinesh Kant Kumar Pupillary Complexity for the Screening of Glaucoma IEEE Access Complexity detection entropy fractal dimension glaucoma pupil |
| title | Pupillary Complexity for the Screening of Glaucoma |
| title_full | Pupillary Complexity for the Screening of Glaucoma |
| title_fullStr | Pupillary Complexity for the Screening of Glaucoma |
| title_full_unstemmed | Pupillary Complexity for the Screening of Glaucoma |
| title_short | Pupillary Complexity for the Screening of Glaucoma |
| title_sort | pupillary complexity for the screening of glaucoma |
| topic | Complexity detection entropy fractal dimension glaucoma pupil |
| url | https://ieeexplore.ieee.org/document/9584846/ |
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