READ ME File For 'Dataset supporting the thesis entitled "Developing a Framework for an Adaptive Transtibial Prosthetic Socket using FEA-based Tissue Injury Risk Estimation and Generalised Predictive Control"'

Dataset DOI: 10.5258/SOTON/D1650

ReadMe Author: Florence M. Mbithi, University of Southampton [ORCID ID: 0000-0002-6103-7996]

This dataset supports the THESIS entitled: 'Developing a Framework for an Adaptive Transtibial Prosthetic Socket using FEA-based Tissue Injury Risk Estimation and Generalised Predictive Control'
AWARDED BY: Univeristy of Southampton
DATE OF AWARD: [TBA]

DESCRIPTION OF THE DATA:
Raw data behind simulations in ABAQUS 6.14 (Dassault Systèmes®, FR) FEA software for Chapter 4 and MATLAB R2016a (MathWorks®, USA) for Chapter 5, for the figures in the thesis.

This dataset contains Excel spreadsheets containing the raw data behind the results:
- Chapter4-DOI_data folder contains the raw data corresponding with the pressure-strain plots in Figures. 4.4 to 4.11 and Figures A2. 1 to A2. 3 
- Chapter5-DOI_data.xlsx contains the raw data corresponding with the estimated pressure thresholds and control target pressures in Figures. 5.4 to 5.6, AND the control output performance in Figures. 5.7 to 5.34

Date of data collection: 12/2018

Information about geographic location of data collection: University of Southampton, U.K.

Licence: Creative Commons Attribution 4.0 International Licence

Related project: A. Dickinson - RF/130 - Developing, Testing and Fitting the Next Generation of Prosthetic Limbs

Related publication: F. M. Mbithi, A. J. Chipperfield, J. W. Steer and A. S. Dickinson, “Predictive Control for an Active Prosthetic Socket informed by FEA-based Tissue Damage Risk Estimation,” in 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), IEEE, Oct. 2019, pp. 2073 – 2076.

Date that the file was created: 11/2020