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Detection of concussion using cranial accelerometry.

Paul S Auerbach1, Jennifer G Baine, Megan L Schott

  • 1*Division of Emergency Medicine, Department of Surgery, Stanford University School of Medicine, Stanford, California; †Department of Orthopedic Surgery, Stanford University School of Medicine, Stanford, California; ‡Stanford-Kaiser Affiliated Residency in Emergency Medicine, Stanford University School of Medicine, Stanford, California; §Los Altos High School, Los Altos, California; and ¶Department of Neurology, School of Medicine, University of California, San Francisco, San Francisco, California.

Clinical Journal of Sport Medicine : Official Journal of the Canadian Academy of Sport Medicine
|July 11, 2014
PubMed
Summary
This summary is machine-generated.

Cranial accelerometry may help detect concussions by identifying a unique skull motion pattern. This noninvasive method could become a valuable tool for sports medicine, offering objective, real-time concussion assessment.

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Area of Science:

  • Biomedical Engineering
  • Sports Medicine
  • Neurology

Background:

  • Concussion diagnosis lacks objective, real-time, noninvasive tools.
  • Pulsatile cerebral blood flow causes skull motion, measurable by cranial accelerometry.
  • Altered skull motion patterns may indicate concussion.

Purpose of the Study:

  • To determine if cranial accelerometry can detect altered skull motion patterns in concussed individuals.
  • To establish a potential noninvasive method for concussion detection and monitoring.

Main Methods:

  • Cranial accelerometry and electrocardiograms were used in 84 high school football players.
  • Waveform analysis identified a concussion-specific pattern in Phase 1.
  • This pattern was validated against blinded, prospective data in Phase 2.

Main Results:

  • A consistent cranial accelerometry pattern correlated with concussion was identified.
  • The pattern showed 76.9% sensitivity and 87% specificity in detecting concussion.
  • This pattern was not observed in non-concussed participants.

Conclusions:

  • A unique cranial accelerometry pattern is associated with concussion.
  • This technique offers a potential noninvasive method for objective concussion detection.
  • Validated accelerometry could significantly aid sports medicine physicians in concussion diagnosis.