Earlier detection of glaucoma from aqueous humor fluid of human eye Through spintronic sensor and machine learning algorithms

dc.contributor.guidePriya, M and Shankar, N
dc.coverage.spatialEarlier detection of glaucoma from aqueous humor fluid of human eye Through spintronic sensor and machine learning algorithms
dc.creator.researcherGanesh, E
dc.date.accessioned2023-02-16T09:22:46Z
dc.date.available2023-02-16T09:22:46Z
dc.date.awarded2022
dc.date.completed2022
dc.date.registered
dc.description.abstractGlaucoma newlineMeasurement newlineOpen angle newline Close angle newlineAqueous humour fluid newlineGMR sensor newlineMachine Learning newline newline xxii, 181p. p.170-180 newline newline newline Glaucoma is an eye disease in human, which leads to vision loss. Vision loss occurs in human eye, when the glaucoma is untreated or undiagnose at earlier stage. The detection of glaucoma at earlier stage is a challenging task due to less symptoms. Moreover, glaucoma symptoms are overlapping with other eye disease symptoms such as myopia, headache, and red eye. Glaucoma classify as open angle and close angle glaucoma. Glaucoma arise due to static and dynamic nature of aqueous humor fluid in eye at canal of schlemm. In Open Angle Glaucoma (OAG), excess Aqueous Humor (AH) fluid pass to schlemm canal and high dynamic in nature. Whereas for Closed Angle Glaucoma (CAG), AH fluid in schlemm canal is static nature. Glaucoma measure through Intra Ocular Pressure (IOP). Different instruments for measuring glaucoma are Goldmann tonometry, pneumotonometry, applanation tonometry and dynamic contour tonometry, which measures Intra Ocular Pressure (IOP) of eye. High IOP damages the optic nerve, cup and disc of eye. However, above instruments never detects the glaucoma at earlier stage due to minimal change in IOP of eye. The IOP of normal eye is between 12 to 22 mmHg. Researchers developed IOP measurement through implantable sensor such as strain gauge, pressure transducer, wireless IOP transducer, optical sensor to measure IOP and non-invasive methods such as (i) ophthalmoscopy for observing optic nerve, retina, (ii) perimetry for measuring peripheral vision of eye, and (iii) gonioscopy for visualization of angle between iris and cornea. However, earlier detection of glaucoma still remains as a challenge to researchers. To solve the above problem, AH fluid is studied for their dynamic and static nature through acquiring the AH fluid radiated magnetic field. AH fluid has magnetic radiation due to magnetic material contents in the fluid. newline newline newline
dc.description.note
dc.format.accompanyingmaterialNone
dc.format.dimensions21cm
dc.format.extentxxii, 181p.
dc.identifier.urihttp://hdl.handle.net/10603/458837
dc.languageEnglish
dc.publisher.institutionFaculty of Information and Communication Engineering
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.relationp.170-180
dc.rightsuniversity
dc.source.universityUniversity
dc.subject.keywordEngineering and Technology
dc.subject.keywordComputer Science
dc.subject.keywordTelecommunications
dc.subject.keywordGlaucoma
dc.subject.keywordMachine Learning
dc.subject.keywordGMR sensor
dc.titleEarlier detection of glaucoma from aqueous humor fluid of human eye Through spintronic sensor and machine learning algorithms
dc.title.alternative
dc.type.degreePh.D.

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