Systems and methods for diagnosing and analyzing concussions
A mobile device is programmed with an application that uses the mobile device's camera, accelerometer and microphone to enable a parent, coach or player to use it as a tool to diagnose a concussion. The tool may diagnose concussion on the basis of one or multiple factors that are scored, for example the player's balance, eye movement, speech responses to questions, button pressing response time, and other information about the location of the impact. A mobile device may be equipped with speech recognition and voice prompting to enable a concussion examination of a player to be administered by another player or coach to the injured player without significant effort by the injured player or helper. Each test may be scored, by itself or against one or more baselines for the injured player to develop an overall score and likelihood of a concussion. When the coach thinks there is a concussion, he/she can use the application to help find a doctor. When the coach is not sure about the test results, he/she can send the machine learning annotated data to an online doctor for reviewing.
1. A method for determining whether a user has a concussion, comprising:
using a mobile device to interact with a user using a display, cameras, the speakers and a microphone to follow a concussion protocol;
collecting audio in response to specific questions from the user using the microphone; and
recognizing speech using automatic speech recognition (ASR);
determining whether the responses to the questions are correct based on the ASR responses to the questions and predetermined answers stored on the mobile device or a back end server;
determining whether the ASR responses have differences in delay or pitch from prior versions of the ASR responses for the user stored in connection with the concussion protocol for the user;
determining a score for the user based on the ASR responses and the differences; and
providing the score and concussion protocol testing data to the user or a medical service provider.
2. The method according to claim 1 , further comprising:
filming the user's eyes following a camera associated with the mobile device; and
analyzing the user's eye movement to determine a score for eye tracking;
using the eye tracking analysis as a component of the score.
3. The method according to claim 1 , further comprising:
analyzing the user's movement and reactions using the mobile device; and
determining the score based in part on the analyzed movement and reactions.