A new open-access platform for measuring and sharing mTBI data.
Abstract
Despite numerous research efforts, the precise mechanisms of concussion have yet to
be fully uncovered. Clinical studies on high-risk populations, such as contact sports
athletes, have become more common and give insight on the link between impact severity
and brain injury risk through the use of wearable sensors and neurological testing.
However, as the number of institutions operating these studies grows, there is a growing
need for a platform to share these data to facilitate our understanding of concussion
mechanisms and aid in the development of suitable diagnostic tools. To that end, this
paper puts forth two contributions: (1) a centralized, open-access platform for storing
and sharing head impact data, in collaboration with the Federal Interagency Traumatic
Brain Injury Research informatics system (FITBIR), and (2) a deep learning impact
detection algorithm (MiGNet) to differentiate between true head impacts and false
positives for the previously biomechanically validated instrumented mouthguard sensor
(MiG2.0), all of which easily interfaces with FITBIR. We report 96% accuracy using
MiGNet, based on a neural network model, improving on previous work based on Support
Vector Machines achieving 91% accuracy, on an out of sample dataset of high school
and collegiate football head impacts. The integrated MiG2.0 and FITBIR system serve
as a collaborative research tool to be disseminated across multiple institutions towards
creating a standardized dataset for furthering the knowledge of concussion biomechanics.
Type
Journal articleSubject
HumansReproducibility of Results
Mouth Protectors
Information Dissemination
Algorithms
Access to Information
Support Vector Machine
Brain Injuries, Traumatic
Neural Networks, Computer
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https://hdl.handle.net/10161/25883Published Version (Please cite this version)
10.1038/s41598-021-87085-2Publication Info
Domel, August G; Raymond, Samuel J; Giordano, Chiara; Liu, Yuzhe; Yousefsani, Seyed
Abdolmajid; Fanton, Michael; ... Camarillo, David B (2021). A new open-access platform for measuring and sharing mTBI data. Scientific reports, 11(1). pp. 7501. 10.1038/s41598-021-87085-2. Retrieved from https://hdl.handle.net/10161/25883.This is constructed from limited available data and may be imprecise. To cite this
article, please review & use the official citation provided by the journal.
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Show full item recordScholars@Duke
Gerald Arthur Grant
Allan H. Friedman Distinguished Professor of Neurosurgery

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