Open RehAIb – machine learning vision software extrapolates insights on brain health

NeurAlbertaTech – uLeth, Lethbridge, AB

Use open-sourced machine learning vision software to extrapolate key insights on brain health of patients (primarily athletes) who have experience traumatic brain injury.

“Growing up in Lethbridge, Canada, I’ve played hockey for most of my life. However, I ended up quitting after I myself got concussed right around the time that I had my high school exams and volleyball provincials not too long after, which I ended up playing through.

As Canadians with such an identity rooted in this sport, I think we’re all aware that athlete health is compromised by contact sports such as hockey but might not be sure what to do about it.

A traumatic brain injury (TBI) is the type of injury that occurs when an external force, such as a blow to the head or a sudden jolt, causes damage to the brain. A concussion is the most common (mild) type of traumatic brain injury.

A systematic review of the application of camara based human-pose estimation showed promise towards the fields of sport and physical exercise, so we took this idea and ran with it. Our project, Open RehAIb, is an AI powered solution that combines our team’s neuroscience background with pose estimation to facilitate traumatic brain injury diagnosis and rehabilitation.”

Team Grade Level: Undergrad & Masters
Team Experience Level: Advanced
STEM Focus: Coding, Robotics, App Development
UN Sustainability Focus Good Health & Well Being

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Posted on

March 9, 2023

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