“…- These datasets are essential for promoters of prosthetic care innovations (e.g., users, clinicians, engineers, scientists, administrators) because they provide valuable insights supporting the prescription of advanced prosthetic components to the growing population of individuals suffering from lower limb loss choosing bionics solutions [6] , [7] , [8] , [9] , [10] , [11] .
- The confounders of the loading information as well as the new evidence of inter-participants variability of loading patterns, loading boundaries and loading local extrema are required to inform providers of prosthetic care who will design subsequent cross-sectional and longitudinal studies (e.g., statistical planning, power calculation) as well as subsequent literature reviews and meta-analyzes [12] , [13] , [14] .
- More precisely, the loading datasets are critical to clinicians (e.g., rehabilitation specialists) and engineers (e.g., manufacturers of components) designing finite element models of prosthetic components and osseointegrated implants parts (e.g., medullar and percutaneous parts), algorithms capable to recognize the loading patterns applied on a residual limb during daily activities, as well as clinical trials testing effects of particular interventions (e.g., design-based selection of components, alignment of prostheses) [15] , [16] , [17] .
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