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Ground reaction forces (GRFs) are exerted by the body on the ground during running, measured by treadmills instrumented with force transducers, and are used to calculate a variety of clinical and performance-related biomechanical variables (Kram, Griffin, Donelan, & Chang, 1998). However, force transducer signals can be affected by changes in temperature during warm up or over long periods (Sloot, Houdijk, & Harlaar, 2015), causing the signal to drift. If ignored, signal drift can lead to the inaccurate calculation of biomechanical variables. For example, ground contact time is defined as the time the foot is in contact with the ground and is often calculated as the time a vertical GRF exceeds a threshold. Signal drift can cause more (or less) of the vertical GRF signal to fall below the threshold, affecting one’s ability to identify stance phase (Riley et al., 2008) or calculate time-dependent GRF metrics. Signal drift can also potentially lead to data loss if the signal exceeds the range of the force transducer.

Dryft: A Python and MATLAB package to correct drifting ground reaction force signals during treadmill running