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Identifying Athlete’s at risk of Injury

Identifying Athlete’s at risk of Injury. Sam Noblet. Problem. Athletes are becoming faster and more committed to their sport which is causing them to overtrain. This is leading to a rise in athletic injuries. Hypothesis.

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Identifying Athlete’s at risk of Injury

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  1. Identifying Athlete’s at risk of Injury • Sam Noblet

  2. Problem Athletes are becoming faster and more committed to their sport which is causing them to overtrain. This is leading to a rise in athletic injuries.

  3. Hypothesis • Can periods in training, in which athletes are more prone to injury, be identified by recording and observing the athletes performance?

  4. Experimental Design

  5. Equipment and Materials • Computer that has xCode installed (xCode is the programming software from Apple inc. to create applications) • iPhone • Cross Country Runners (for data purposes)

  6. Example of xCode

  7. Example of APP

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