From Junior Seau, former San Diego Chargers linebacker, to Dave Duerson, former Chicago Bears safety - who both committed suicide as a result of chronic traumatic encephalopathy (CTE), traumatic brain injuries (TBIs) have been making gruesome headlines at an alarming rate. In the United States alone, TBIs account for an estimated 1.6 - 3.8 million sports injuries every year, with approximately 300,000 of those being diagnosed among young, nonprofessional athletes. But TBIs are not confined to sports; they are also considered a signature wound among soldiers of the Iraq and Afghanistan wars.
The potential impact on the health and well-being of individuals with brain injuries are numerous. These individuals might display a range of symptoms - such as headaches, depression, loss of memory and loss of brain function - which may persist for weeks or months. The effects of brain injuries are most devastating when they remain unrecognized for long periods of time. This is where Christian Poellabauer, associate professor of computer science and engineering; Patrick Flynn, professor of computer science and engineering; Nikhil Yadav, graduate student of computer science and engineering; and a team of students and faculty are making their own impact.
Although baseline tests of athletes prior to an injury are trending up, these tests must still be compared to examinations after an injury has occurred. They require heavy medical equipment, such as a CT scanner, MRI equipment, or X-ray machine, and are not always conclusive. The Notre Dame team has developed a tablet-based testing system that captures the voice of an individual and analyzes the speech for signs of a potential concussion anytime, anywhere, in real-time.
"This project is a great example of how mobile computing and sensing technologies can transform healthcare," Poellabauer said. "More important, because almost 90 percent of concussions go unrecognized, this technology offers tremendous potential to reduce the impact of concussive and sub-concussive hits to the head."
The system sounds simple enough: an individual speaks into a SmartPhone equipped with the Notre Dame program before and after an event. The two samples are then compared for TBI indicators, which include distorted vowels, hyper nasality and imprecise consonants.