Perturbation-based estimation of within-stride cycle metabolic cost

Table 1 Evaluation of perturbation-based method in neuromechanical dataset

Stride mean metabolic cost input	Selected mathematically derived combination of biomechanical time series	Estimated versus actual time series correlation ^┼
Bhargava et al., 2004	(Soleus + tibialis anterior) * hip power + vastus medialis	0.76
Houdijk et al., 2006	(COM power + vastus medialis) * rectus femoris + vastus medialis	0.22
Lichtwark et al., 2005	(Soleus + tibialis anterior) * hip power + vastus medialis	0.77
Margaria,1968, muscle-based	Knee angle – hip moment	0.49
Umberger, 2003	(Stride time + vastus medialis) * hip power + vastus medialis	0.42
Mean Pearson correlation 0.55 (95% CI = 0.22–0.77)^*

┼ The final column lists correlations between model-based within-stride metabolic costs and estimations of these costs using the perturbation-based method (Fig. 4 AE). The stride mean metabolic costs used as inputs for the perturbation-based estimation are named in the first column. The Pearson correlations serve as a measure of the estimation performance
* Mean Pearson correlation and confidence interval are calculated following Fisher Z transformation

ISSN: 1743-0003