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.

Document Details

Document Type
Pub Defense Publication
Publication Date
Apr 05, 2021
Source ID
10.1038/s41598-021-87085-2

Entities

People

  • Ali Kight
  • Athanasia Boumis
  • August G Domel
  • Brett Avery
  • Calvin Kuo
  • Chiara Giordano
  • David B. Camarillo
  • Eli Rice
  • Gerald Grant
  • Heer Singh
  • Ileana Pirozzi
  • India Rangel
  • Lyndia Wu
  • Michael Fanton
  • Michael M Zeineh
  • Nicholas J. Cecchi
  • Nicole Mouchawar
  • Olga Vovk
  • Pritha Roy
  • Sam Monga
  • Samuel J. Raymond
  • Seyed Abdolmajid Yousefsani
  • Simran Jandu
  • Sohrab Sami
  • Tyler Fetters
  • William M. Mehring
  • Yuzhe Liu

Organizations

  • Lucile Packard Foundation for Children's Health
  • National Institutes of Health
  • Office of Naval Research

Tags

Fields of Study

  • Computer science

Readers

  • Neural Network Machine Learning.
  • Neurotrauma and Rehabilitation Medicine.
  • Systems Analysis and Design

Technology Areas

  • AI & ML