Glaucoma refers to a diseases characterized by optic neuropathy, specific pattern of visual field, raised intraocular pressure. Glaucoma is the second leading cause of blindness. Visual field testing is a subjective method, but yet a very important part for diagnosis & in follow-up of ocular or neurological diseases. Standard automated perimetry or white-on-white perimetry is state of the art for the visual field examination of glaucoma patients. Careful instructions & supervision of the patient help to achieve high quality results. The purpose of this work is to develop a new family of test algorithm such as Swedish interactive thresholding algorithm (SITA) for computerized static threshold perimetry which significantly reduces test time without any reduction of data quality. A comprehensive visual field model constructed from available knowledge of normal & glaucomatous visual field is continuously updated during testing. The main components of the system are push button, PIC microcontroller, bluetooth module, android phone to display output results. Android app mainly consist of number of screens which contain patient data, test selection according to age group, 76 led glow randomly & output screen.

Glaucoma, Standard automated perimetry, SITA, Visual Field(VF)

[1]D.Hensonet.al, “Perimetry”, Elsevier journal, Encyclopaedia of the Eye, pp.300-306, 2010
[2] Ahmad A. Aref et.al, “Detecting Visual Field Progression”, Elsevier journal American Academy of Ophthalmology, vol.124, Issue.12, pp-s51-s56,2017
[3] Andrew S. Camp et.al,“Will Perimetry Be Performed to Monitor Glaucoma in 2025”,Elsevier journal, American Academy of Ophthalmology,Vol.124,Issue.12,pp-s71-s75, 2017
[4] Ron Chibel et.al, “Chromatic Multifocal Pupillometer for Objective Perimetry and Diagnosis of Patients with Retinitis Pigmentosa ”, Elsevier journal, American Academy of Ophthalmology,vo.123, Issue.9,pp-1898-1911,2016
[5] Christoph et.al, “Tonometry through the ages”, Elsevier journal, Survey of ophthalmology, vol.53, Issue.6, pp-568-591, 2008
[6] Kazunori Hirasawa et.al,“Evaluation of stimulus velocity in automated kinetic perimetry in young healthy participants” Elsevier journal, Department of Ophthalmology, vol. 98,pp 83-88, 2014
[7] Addepalli U. Kumar et.al, “Agreement of glaucoma specialists and experienced optometrists in gonioscopy and optic disc evaluation”, Elsevier journal of optometry, vol. 6, Issue.4, pp 212-218, 2013.
[8] George L. Spaeth et.al, “Imaging of the optic disc in caring for patients with glaucoma: ophthalmoscopy and photography remain the gold standard ”, Science Direct Journal,Survey of ophthamology, vol.59, Issue.4,pp 454-458, 2014
[9] Charles W. Mcmonnies et.al, “Glaucoma history and risk factors”, Elsevier Journal of Optometry, vol.10, issue.2, pp 71-78, 2017
[10] G.L. Scuderi et.al, “Standard automated perimetry and algorithms for monitoring glaucoma progression” Elsevier, vol. 173, pp 77-99, 2008
[11] Andrew J. Anderson et.al, “Can Home Monitoring Allow Earlier Detection of Rapid Visual Field Progression in Glaucoma?”, Elsevier journal, American Academy of Ophthalmology, vol. 124, Issue 12,pp1735-1742, 2017.
[12] Robert H. Spector, “Visual Fields”, Butterworths publishers, Boston,pp. 565-572,1990.
[13] J.Kanimozhi, P.Vasuki, S.Mohamed Mansoor Roomi, “Iterative vessel segmentation with stopping criterion for fundus imagery”, International journal of scientific research in network security and communication, vol. 6, Issue 3, pp6-12, 2018.
[14] A.K.Gupta, S.Gupta, “Neural Network Through Face Recognition”, International journal of scientific research in computer science and engineering, vol 6, Issue 2, pp38-40, 2018.