Sensor on glasses. Characterization Presentation Part 1 - Winter 2012. Performed by: Danielle Perez Shuki Eizner Instructor: Alexander Kinko Duration: 2 Semesters. Table Of Contents. Introduction Project’s Goals Project’s Overview (Semester A)
Part 1 - Winter 2012
Performed by: Danielle Perez
Instructor: Alexander Kinko
Duration: 2 Semesters
Neuro-ophthalmologists and eyelid surgeons analyze lid motility for assessing ptosis, third and seventh nerve palsy, myasthenia gravis, Graves’s disease, and Parinaud’s syndrome. Currently, mainly static measurements of the lid fissure and levator action (amplitude) are done routinely.
Many different techniques have been used to measure the time course of blinks using coils, camera, lever arm and photosensitive position detector, but no clinical tool is widely available.
Eyelid Movement Sensor
Results of analysis
Develop a portable, low-power system that will check the eyelid movements and analyze the results.
The system has the following features:
In parallel :
recognition of the required blinks and storing the basic parameters on
the EMSD’s memory.
communication with EMSD, creating the database, performing various
graphs and storing the database for further inspection by physician.
(System Under Test) procedure.
Pre - AMP
Suggested eyelid movement Flow Detection
Store eyelid movements
in the EMSD’s memory