Project Team
Students
Nicholas Gehring
Computer Science
Penn State Abington
Faculty Mentors
Yi Yang
Penn State Abington
Engineering
Dr. Yanxi Liu
Penn State University Park
School of Electrical Engineering and Computer Science
Project
https://sites.psu.edu/mcreu/files/formidable/2/mcreu-slide.pdf
Project Video
Project Abstract
At least 1.5 million concussions occur every year in just the United States alone. An ample amount of research has already been conducted to look at ways to treat and diagnose concussions effectively, yet concussions are known to be hard to diagnose as symptoms can vary greatly. MRI or CT scans can be used to identify severe damage to the brain as the damage would involve bleeding or bruising, but these methods are expensive and less viable in diagnosing more minor concussions. However, there’s another method known as the near point convergence (NPC) test which alleviates these issues. This test, which relies on measuring the distance from the patient’s eyes to the focusing point of their vision, also has its own issues as the measurements can prove to be inconsistent or hard to obtain. We can instead acquire more accurate readings using ultrasonic sensors. Performing different tests with Chirp Microsystems’ new CH-101 ultrasonic time of flight (ToF) sensors, we can see that these sensors could potentially be used for an NPC measuring device providing ophthalmologists or sports trainers an easy way to diagnose concussions.
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