Using wearable technology data to detect atypical running patterns with injury: a case report

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Abstract Summary
To better understand the effects of fatigue on running biomechanics, data were collected using an inertial measurement unit (IMU) for 28 subjects running a marathon race. During one marathon, however, one male recreational runner sustained a running-related injury in his left calf muscle and retired near the 28-km mark. In this case study, we use a composite index to characterize subject-specific ‘typical’ running patterns for the injured runner at the beginning of the race and detect ‘atypical’ patterns that may have been indicative of injury.
Submission ID :
UCB1922
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Rachel Horenstein Rachel Horenstein
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Karim Makki* Karim Makki*
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Sarvenaz Chaeibakhsh* Sarvenaz Chaeibakhsh*
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Running: Biomechanics
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Victoria Chester* Victoria Chester*
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Modeling: Musculoskeletal
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Alexis Brierty Alexis Brierty