All Stories

  1. Predicting gait events from tibial acceleration in rearfoot running: a structured machine learning approach
  2. Change-Point Detection of Peak Tibial Acceleration in Overground Running Retraining
  3. Tibial Acceleration-Based Prediction of Maximal Vertical Loading Rate During Overground Running: A Machine Learning Approach
  4. Consolidation of the atypical rearfoot strike pattern in distance runners and linkage to tibial shocks
  5. Machine learning as a tool to predict impact loading during over-ground distance running
  6. Validity and reliability of peak tibial accelerations as real-time measure of impact loading during over-ground rearfoot running at different speeds
  7. Design and validation of an auditory biofeedback system for modification of running parameters
  8. Exoskeleton assistance symmetry matters: unilateral assistance reduces metabolic cost, but relatively less than bilateral assistance