PupilScreen aims to allow parents, coaches, medics to detect concussion, TBIs
  with a phone
From: EurekAlert! - 09/06/2017

University of Washington researchers are developing the first smartphone app
that is capable of objectively detecting concussion and other traumatic brain
injuries in the field: on the sidelines of a sports game, on a battlefield,
or in the home of an elderly person prone to falls.

PupilScreen can detect changes in a pupil's response to light using a
smartphone's video camera and deep learning tools - a type of artificial
intelligence - that can quantify changes imperceptible to the human eye.

The team of UW computer scientists, electrical engineers and medical
researchers has demonstrated that PupilScreen can be used to detect instances
of significant traumatic brain injury.

Read the entire article at:
http://www.washington.edu/news/2017/09/06/pupilscreen-aims-to-allow-parents-coaches-medics-to-detect-concussion-brain-injuries-with-a-smartphone
https://www.eurekalert.org/pub_releases/2017-09/uow-pat090617.php

Links:
PupilScreen Aims to Provide Concussion Detection Via a Smartphone App
http://www.ptproductsonline.com/2017/09/pupilscreen-aims-provide-concussion-detection-via-smartphone-app

PupilScreen: Using Smartphones to Assess Traumatic Brain Injury
https://ubicomplab.cs.washington.edu/pdfs/pupilscreen.pdf

PupilScreen: Using Smartphones to Assess Traumatic Brain Injury (video 2:47)
https://youtu.be/sZwgpz4s8Jw

PupilScreen photos:
https://www.dropbox.com/sh/wx1nb7wt3hxi48v/AABm4pJ1t9RKmhjIezqLm1_9a

---

Researchers at the University of Washington are developing PupilScreen, a
smartphone application that can objectively detect concussions and other
traumatic brain injuries. The app uses a smartphone's video camera and
deep-learning tools to detect changes in a pupil's response to light. The
pupillary light reflex has traditionally been used to assess whether a
patient has severe traumatic brain injury, and recent research shows it can
be useful in detecting milder concussions. The researchers showed PupilScreen
can be used to detect instances of significant traumatic brain injury, and a
broader clinical study this fall will enable coaches, emergency medical
technicians, doctors, and others to test the system and gather more data on
which pupillary response characteristics are most helpful in identifying
concussions. PupilScreen uses deep-learning algorithms that can determine
which video pixels belong to the pupil in each video frame and measure the
changes in pupil size across those frames.