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Visual System

Visual System

Light enters the eye through the cornea, a transparent, dome-shaped surface covering the surface of the eyeball that helps to direct and focus incoming light. This light is then channeled toward the pupil, an adjustable opening whose size is controlled by the iris. The iris, a pigmented muscle, regulates the amount of light entering the eye by contracting or dilating the pupil, thereby ensuring optimal light levels for clear vision.
Once through the pupil, the light passes through the lens, a...

Vision

Vision

Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.

Depth Perception and Spatial Vision

Depth Perception and Spatial Vision

Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.

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Assessing Early Stage Open-Angle Glaucoma in Patients by Isolated-Check Visual Evoked Potential

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Edge caching and Dynamic Vision Sensing for low delay access to visual medical information.

Z Chen, T Shikh-Bahaei, P Luff

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

|October 25, 2017

Summary

This study introduces a novel system combining edge caching and Dynamic Vision Sensing (DVS) to significantly cut medical data transmission delays. The proposed approach reduces delays by up to 86.88%, enhancing medical record accessibility.

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Area of Science:

Computer Science
Medical Informatics
Telecommunications

Background:

Medical record transmission faces significant delays, impacting timely healthcare delivery.
Existing edge caching systems offer partial solutions but can be further optimized.

Purpose of the Study:

To propose and evaluate a new system for reducing the transmission delay of medical records.
To leverage edge caching and Dynamic Vision Sensing (DVS) for improved data transfer efficiency.

Main Methods:

Implementation of a novel system integrating edge caching with Dynamic Vision Sensing (DVS) technology.
Simulation-based analysis to quantify the reduction in transmission delay.

Main Results:

The proposed system demonstrated a substantial decrease in transmission delay, ranging from 36.35% to 86.88%.
Significant performance improvement compared to systems utilizing only edge caching.

Conclusions:

The integration of DVS with edge caching offers a highly effective strategy for minimizing medical data transmission latency.
This advancement has the potential to improve the speed and efficiency of accessing both visual and non-visual medical records.