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This article and any supplementary material should be cited as follows: Wininger M, Crane B. Effect of interpolation on parameters extracted from seating interface pressure arrays. J Rehabil Res Dev. 2014;51(9):1365–76. http://dx.doi.org/10.1682/JRRD.2014.04.0101 Slideshow Project DOI:10.1682/JRRD.2014.04.0101JSP Effect of interpolation on parameters extracted from seating interface pressure arrays Michael Wininger, PhD; Barbara Crane, PhD, PT
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This article and any supplementary material should be cited as follows: Wininger M, Crane B. Effect of interpolation on parameters extracted from seating interface pressure arrays. J Rehabil Res Dev. 2014;51(9):1365–76. http://dx.doi.org/10.1682/JRRD.2014.04.0101 Slideshow Project DOI:10.1682/JRRD.2014.04.0101JSP Aim – Conduct focused study on effect of interpolation on features extracted from seating interface pressure arrays. – Determine whether these parameters are sensitive to interpolation method. Relevance – Interpolation is a common data processing step in study of interface pressure data collected at wheelchair seating interface.
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This article and any supplementary material should be cited as follows: Wininger M, Crane B. Effect of interpolation on parameters extracted from seating interface pressure arrays. J Rehabil Res Dev. 2014;51(9):1365–76. http://dx.doi.org/10.1682/JRRD.2014.04.0101 Slideshow Project DOI:10.1682/JRRD.2014.04.0101JSP Method Tested 2 interpolation paradigms (bilinear and bicubic spline) for their influence on parameters extracted from pressure array data. – Compared against conventional low-pass filtering operation. Analyzed effect of tandem filtering and interpolation as well as interpolation degree.
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This article and any supplementary material should be cited as follows: Wininger M, Crane B. Effect of interpolation on parameters extracted from seating interface pressure arrays. J Rehabil Res Dev. 2014;51(9):1365–76. http://dx.doi.org/10.1682/JRRD.2014.04.0101 Slideshow Project DOI:10.1682/JRRD.2014.04.0101JSP Results Recommendations regarding approaches that minimized distortion of features extracted from pressure maps: – Filter prior to interpolate (strong effect). – Use of cubic interpolation vs linear (slight effect). – Nominal difference between interpolation orders of 2, 4, and 8 times (negligible effect).
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This article and any supplementary material should be cited as follows: Wininger M, Crane B. Effect of interpolation on parameters extracted from seating interface pressure arrays. J Rehabil Res Dev. 2014;51(9):1365–76. http://dx.doi.org/10.1682/JRRD.2014.04.0101 Slideshow Project DOI:10.1682/JRRD.2014.04.0101JSP Conclusion To establish a community consensus of best practices in pressure array data processing, we invite other investigators to perform similar benchmark analyses on their own data.
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