Prototype to measure cataract
A diagnostic tool to measure cataract build at MIT DIY 2013.
A mobile diagnostic tool to measure cataract
A hardware prototype designed at MIT DIY workshop 2013
India's vision related issues would double by 2020
Vision related issues are the most pertinent issue among the elderly. It has been projected that the number of elderly citizen undergoing surgery would double by 2020. Our project attempts to quantify the density of cataract so that appropriate test/medical advice can be supervised on time. This is especially relevant in rural areas where medical facilities are limited and multiple cataract tests may not be affordable. This is an early cataract detection hardware application that detects, quantifies and helps the medical professional give more accurate advice and follow-up with the patients.
The Cause behind Cataract
Stereo illusion, also known as Pulfrich effect, is a psycho-physical perception in cataract patients. Objects moving laterally apparently seem to gain depth. The visual cortex interprets the lateral motion as having a depth component, due to a relative difference in receiving signals by both the eyes. Pulfrich effect makes the cataract patients especially subject to accidents.
List of features to build a working prototype
Analyzing methods to understand how to work with low-vision people.
Stimulating the physical perception into digital format.
Finding the correct parameters.
Simulation of virtual reality pendulum
Creating virtual filters
Testing the prototype
The biggest technological challenge lied in quantifying the precise depth of cataract through pupil tracking. In other words, translating the physical lateral motion to digital motion was a roadblock. The following list describes the steps we followed:
- Translating the analogue system into the digital format.
- Quantifying the depth (eye tracking mechanism): We worked with different variables. The trials were conducted based on the following parameters:
Size of pendulum
Shape of the pendulum, and
Tracking the eye was not feasible at this stage as it requires really high pixel cameras and more duration for the trials.
Though the application was never launched. We made the code open-source to benefit the medical community. This prototype also leaves gaps for future work including:
Quantify the depth of perception based on the current experiment to get a relative value of cataract.
Track the eye movement to get more precise data.
Design the application such that it is easy to use in rural areas.