The accuracy and predictability of micro Doppler radar signature projection algorithm measuring functional movement in NCAA athletes.

Journal: Gait & posture
Published Date:

Abstract

BACKGROUND: Development of accessible cost-effective technology to objectively, reliably, and accurately predict musculoskeletal injury risk could aid the effort to prevent chronic pain and disability. Recent work on micro-Doppler radar suggests it merits investigation towards these goals. The micro-Doppler signals that are created can infer differences in gross movements such as walking versus crawling in military settings where direct vision is not possible. Unique micro-Doppler signals may be able to identify more subtle movement patterns which would not be easily seen by the human eye.

Authors

  • Cayce Onks
    Pennsylvania State University College of Medicine, 500 University Drive, P.O. Box 850, Hershey, PA, 17033-0850, United States. Electronic address: conks@pennstatehealth.psu.edu.
  • Donald Hall
    Pennsylvania State University College of Engineering, 202 EE East Building, The Pennsylvania State University, University Park, PA, 16802, United States.
  • Tyler Ridder
    Pennsylvania State University College of Engineering, 202 EE East Building, The Pennsylvania State University, University Park, PA, 16802, United States.
  • Zacharie Idriss
    Pennsylvania State University College of Engineering, 202 EE East Building, The Pennsylvania State University, University Park, PA, 16802, United States.
  • Joseph Andrie
    Pennsylvania State University College of Medicine, 500 University Drive, P.O. Box 850, Hershey, PA, 17033-0850, United States.
  • Ram Narayanan
    Pennsylvania State University College of Engineering, 202 EE East Building, The Pennsylvania State University, University Park, PA, 16802, United States.