Maybe I am using the wrong search words, but I can’t find any work on this topic.
Here’s what I am looking for and how I got in this corner. I use a physics-based system-level model that combines an automated Spring Mass model with a generic rotational model to compute a subject’s total Mass Specific Power (MSP, W/kg). The combined model replicates the typical 4% minimum in MSP or O2 consumption that is observed near a runner’s Preferred Step Frequency (PSF, Hz).
The combined model also predicts a decrease in PSF with increased height. (I found this effect in some reprocessed data from a paper by Rodger Kram and a dataset that I kindly received from John Rasmussen.)
I feel that the model might help explain why the observed PSF(v) dependence generally has a positive second derivative.
If you know of any research in this area, I would appreciate a citation.
Sincerely,
Ted Andresen
The combined model with the basic mathematic formulations is shown in the attached diagram