READ ME File For 'Dataset: Respiratory Mask Goodness of Fit Evaluation'

Dataset DOI:https://doi.org/10.5258/SOTON/D1511 

ReadMe Author: Worsley P.R., Verberne, J, Bader, D.L., University of Southampton

This dataset supports the publication:
Worsley P.R., Verberne, J, Bader, D.L. (2020)
A 3D registration methodology to evaluate the goodness of fit at the individual-respiratory mask interface
Computer Methods in Biomechanics and Biomedical Engineering



Description:
The excel file contains all experimental data used for generating Fig.3, 4, 5 and 6. to Fig.5, and the Zip file contains figures listed in the paper in EPS (Encapsulated PostScript) graphics file format. EPS files are viewable in Adobe Photoshop, Illustrator and CorelDRAW

The figures are as follows:

Fig. 3  The registration objects are displayed on the left images, with the distance values represented by colours
superimposed on the mask shapes. A negative displacement value corresponds to the mask vertex
compressing the contour of the face. In the middle images, a histogram of the distance values is displayed,
with the vertical line representing the thresholds of the high displacement areas. The right image is a radial
representation of the distance value of each vertex. The blue vertical lines represent the same distance
thresholds as the contour lines in the left images. The horizontal red lines are at the locations of a maximum
or minimum vertex

Fig. 4  Histograms of the parametric values for all face/mask combinations for the five face shapes from the lower
middle-aged female group. Each subject in this group is represented by a unique bar colour. 

Fig. 5  MThe asymmetry index of each face scan, plotted against the corresponding values of HParea. Different
colours indicate individual face scans in each of these groups. 

Geographic location of data collection: University of Southampton, U.K.

Date of data collection 2020-01-05 to 2020-08-30

Related projects:
The work was supported by the EPSRC-NIHR “Medical Device and Vulnerable Skin” Network
and NetworkPLUS (Refs. EP/M000303/1 and EP/N02723X/1), as well as the Fonds Internatial
Experience of Eindhoven University of Technology.


Dataset available under a CC BY 4.0 licence


Publisher: University of Southampton, U.K.


Date: Oct 2020