Manuscript as published in "Frossard L, Leech B, Pitkin M. Automated characterization of anthropomorphicity of prosthetic feet fitted to bone-anchored transtibial prosthesis. IEEE Transactions on Biomedical Engineering. 2019. IEEEEXplore

The data in this paper are related to the research article entitled “Automated characterization of anthropomorphicity of prosthetic feet fitted to bone-anchored transtibial prosthesis” (Frossard et al., 2019: DOI: 10.1109/TBME.2019.2904713). This article contains the individual angles of dorsiflexion and bending moments generated while walking with transtibial bone-anchored prostheses including prosthetic feet with different index of anthropomorphicity. Inter-participant variability were presented for the (A) position of the load cell measuring directly to the bending moments, (B) patterns of angles of dorsiflexion and bending moment as well as moment-angle curves and (C) variations of magnitude of angles of dorsiflexion as well as the raw and bodyweight-normalized bending moments between toe contact and heel off. These initial inter-participant variability benchmark datasets are critical to design future automated algorithms and clinical trials. Online repository contains the files: https://eprints.qut.edu.au/127745/1/127745.pdf.

Manuscript as published in "Frossard L, Leech B, Pitkin M. Loading applied on osseointegrated implant by transtibial bone-anchored prostheses during daily activities: Preliminary characterization of prosthetic feet.

The data in this paper are related to the research article entitled “Loading applied on osseointegrated implant by transtibial bone-anchored prostheses during daily activities: Preliminary characterization of prosthetic feet” (Frossard et al., 2019: Accepted). This article contains the individual and grouped loading characteristics applied on transtibial osseointegrated implant generated while walking with bone-anchored prostheses including prosthetic feet with different index of anthropomorphicity. Inter-participant variability was presented for (A) the spatio-temporal characteristics, (B) the loading boundaries and (C) the loading local extremum during walking, ascending and descending ramp and stairs. These initial inter-participant variability benchmark datasets are critical to improve the efficacy and safety of prosthetic components for transtibial prostheses as well as the design of future automated algorithms and clinical trials. Online repository contains the files: https://doi.org/10.17632/vhc6sf7ngy.1.