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Hardware Implementation of Glaucoma using A PIC Micro-Controller – A Novel Concept for a Normal Case of the Eye Disease

机译:青光眼使用PIC微控制器的硬件实现-正常眼病病例的新概念

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Glaucoma is one of the second driving eye maladies on the planet, if not treated legitimately may prompt lasting visual impairment. There are no particular side effects for this illness, it is seen by loss of side vision. Glaucoma is a moderate dynamic degeneration of retinal ganglion cells (RGC) and their axons, bringing about a particular appearance to the optic nerve head (ONH), frequently called measuring. Because of measuring, the container zone increments and causes loss of side vision. Normally exceptionally prepared clinicians physically review the fundus pictures in a tedious way. In this unique circumstance, we are attempting to build up some novel calculations for programmed recognition of eyes influenced with glaucoma utilizing picture preparing separating and change strategies and actualize the same on equipment utilizing a PIC micro-controller, which is used for the hardware implementation. The software simulation was also carried out & in this paper, the hardware implementation of the same is done so as to validate the simulation results. The hardware results shown depicts the effectiveness of the methodology developed for a normal eye disease case.
机译:青光眼是地球上继发于眼球的第二大疾病之一,如果不正确治疗可能会导致持续的视觉障碍。对于这种疾病没有特别的副作用,可以通过失去视力来看出。青光眼是视网膜神经节细胞(RGC)及其轴突的中度动态变性,通常在视神经头(ONH)中引起特殊外观。由于测量,容器区域会增加,并导致视力下降。通常情况下,准备充分的临床医生会以乏味的方式对眼底图片进行物理检查。在这种独特的情况下,我们试图建立一些新颖的计算方法,以利用图片准备分离和更改策略对受青光眼影响的眼睛进行程序识别,并在使用PIC微控制器的设备上将其实现为硬件实现。还进行了软件仿真,并在本文中进行了相同的硬件实现,以验证仿真结果。所示的硬件结果描述了针对正常眼病病例开发的方法的有效性。

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