System and method for optical detection of cognitive impairment

A method comprising:

• running on a portable video capture device (PVCD) a smart user interface (SUI) software comprising of code to determine the position of the PVCD and instructions to guide a user to position the PVCD for optimal video capture of an eye of the user with a camera of the PVCD;
• self-capturing video of the eye over a predetermined time, wherein the self-captured video includes video of the eye before, during and following exposure of the eye to light stimuli from a light source of the PVCD;
• processing the video to locate a feature of the eye;
• measuring a change in the feature over the predetermined time in response to the light stimuli;
• analyzing data from the measured change in the feature, and predicting a degree of cognitive impairment based on the measured change;
• and
• outputting through an interface in the portable video capture device the degree of cognitive impairment to the user.

A system comprising:

• a portable video capture device (PVCD) including a user interface, a video capture device, a light source, and a local processor;
• and
• a software program and executed by the local processor, the software program including:
• a video capture module to capture video of an eye exposed to light stimuli from the light source over a predetermined time using the video capture device of the PVCD;
• local correlation and prediction module to:
• locate a feature of the eye;
• measure a change in the feature over the predetermined time in response to a light stimuli from the light source;
• extract data from the measured change in the feature;
• calculate a number of parameters from the extracted data;
• correlate the calculated parameters with predetermined reference parameters and predict a degree of impairment based on the results of the correlation;
• and
• a user interface module to output the probability and degree of impairment to a user.