As research helps drives clinical treatments and procedures, it is becoming increasing more important to evaluate humans in real-life environments. Data collected in a static environment like a laboratory does not always translate to the dynamic environments in which athletes perform in sporting events or how people function in the real world.
This concept was a key theme at the 2019 International Society of Biomechanics, which took place in Calgary, Canada, from July 31-August 4.
Among the handful of papers that were presented at the conference using Tekscan technology, one titled “The Application of a Neural Network to Improve Plantar Pressure Mapping Accuracy” by Kenneth Brent Smale, PhD., and Ryan B. Graham, PhD., from the University of Ottawa, focused on the validating the F-Scan System in-shoe system to a force plate.
The authors commented on the force plate being the gold standard, but pressure mapping provides added benefits like portability that a force does not offer, which is why it’s important to understand the accuracy between the two systems. They looked to evaluate if a using a neural network would improve any discrepancies, if any, in accuracies. Read the full abstract here.
At the conference, we chatted with Brent Smale, PhD, the primary author of the paper, who is currently the Assistant Director of Performance Integration with the Los Angeles Angels.
He shared his thoughts on:
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