Development of an online rapid cognitive-motor assessment tool to monitor brain health.

This project aims to maximize the accessibility of an existing validated computer tablet-based brain health assessment tool. Specifically, we wish to expand the assessment tool to a web-based platform and improve its ability to rate a user’s performance in a personalized way. Currently, there are few choices for clinicians to test rule-based skilled performance needed to assess daily living function, and even fewer that can be administered rapidly and remotely. The system will provide a quick, accessible means to evaluate the integrity of brain networks associated with cognitive, sensory, and motor integration required for active daily living. This two-phase project will first convert the existing technology into one that can be used remotely with an at-home computer. We will then use anonymized data collected from the past and developed system to accurately classify – using deep learning methods – all aspects of an individual’s performance accounting for factors such as age, gender, physical activity history, and current neurological situation. The project outcome will assist clinicians in making individually-tailored brain health assessments. Importantly, this work will develop a new measurement useful in determining an individual’s risk of complications related to cognitive-motor function in a format that is accessible to remote communities.

Faculty Supervisor:

Lauren Sergio

Student:

Partner:

3motionAI Inc.

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

York University

Program: