READ ME File For 'A Wearable Insole System to Measure Plantar Pressure and 2 Shear for People with Diabetes'

ReadMe Author: Jinghua Tang, Dan L Bader, David Moser, Daniel J Parker, Saeed Forghany, Christopher J Nester and Liudi Jiang

This dataset supports the publication:
Jinghua Tang, Dan L Bader, David Moser, Daniel J Parker, Saeed Forghany, Christopher J Nester and Liudi Jiang. (2023)
A Wearable Insole System to Measure Plantar Pressure and Shear for People with Diabetes
Sensors

https://doi.org/10.5258/SOTON/D2560

Description:
The excel files contain all experimental data used for generating Figure 4, Figure 5, Figure 8, Figure 9, Figure 10 and Table 1

Figure 4: (a) Applied static pressure from the Instron mechanical test machine, as a function of time. Measured pressure from the insole system and applied pressure from the test machine, obtained from the (b) static and (c) dynamic pressure test.

Figure 5: (a) Applied static shear stress from the mechanical test machine, as a function of time. Measured shear stress from the insole system and applied shear stress from the test machine, obtained from the (b) static and (c) dynamic shear test.

Figure 8: (a) Pressure, (b) medial-lateral (ML) shear and (c) anterior-posterior (AP) shear stress as a function of time from the heathy participant wearing a trainer.

Figure 9: (a) Mean peak pressure and (b) medial-lateral (ML) and (c) anterior-posterior (AP) shear stress obtained over gait cycles, with three types of footwear.

Figure 10: Mean peak plantar pressure distribution during walking obtained using XSENSOR system with and without the sensorised insole. The four sensing locations are highlighted to allow regional peak pressure value comparison.

Table 1: Peak pressure safety evaluation for 5 participants with diabetes. MPP: Mean Peak Pressure values for each participant represent the average of 10 mid-gait steps. Effect calculated as absolute pressure with sensorised insole MPP minus Without Insole MPP (S-W)

Geographic location of data collection: University of Southampton and University of Salford
Dataset available on request only  under a CC-BY-NC-ND licence
Publisher: University of Southampton, U.K.
Date: Jan. 2023

Project
This study was funded by the NIHR Invention for Innovation (i4i) Programme (NIHR201315). The views expressed are those of the authors and not necessarily those of the NIHR or the Department of Health and Social Care.