Predicting Sports Injuries with Wearable Technology and Data Analysis
Author:
Funder
Wright State University
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Information Systems,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s10796-020-10018-3.pdf
Reference89 articles.
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3. Beneciuk, J. M., Bishop, M. D., & George, S. Z. (2009). Clinical prediction rules for physical therapy interventions: A systematic review. Physical Therapy, 89(2), 114–124.
4. Billings, C. E. (2004). Epidemiology of injuries and illnesses during the United States air Force academy 2002 basic cadet training program: Documenting the need for prevention. Military Medicine, 169(8), 664–670.
5. Borotikar, B. S., Newcomer, R., Koppes, R., & McLean, S. G. (2008). Combined effects of fatigue and decision making on female lower limb landing postures: Central and peripheral contributions to ACL injury risk. Clinical biomechanics, 23(1), 81–92.
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