Print Email Facebook Twitter STAPP Title STAPP: SpatioTemporal Analysis of Plantar Pressure Measurements using Statistical Parametric Mapping Author Booth, Brian G. (Universiteit Antwerpen) Keijsers, Noël L.W. (Sint Maartenskliniek, Nijmegen) Sijbers, Jan (Universiteit Antwerpen) Huysmans, T. (TU Delft Applied Ergonomics and Design; Universiteit Antwerpen) Date 2018 Abstract BackgroundPedobarography produces large sets of plantar pressure samples that are routinely subsampled (e.g. using regions of interest) or aggregated (e.g. center of pressure trajectories, peak pressure images) in order to simplify statistical analysis and provide intuitive clinical measures.Research QuestionWe hypothesize that these data reductions discard gait information that can be used to differentiate between groups or conditions.MethodsTo test the hypothesis of null information loss, we created an implementation of statistical parametric mapping (SPM) for dynamic plantar pressure datasets (i.e. plantar pressure videos). Our SPM software framework brings all plantar pressure videos into anatomical and temporal correspondence, then performs statistical tests at each sampling location in space and time. Novelly, we introduce non-linear temporal registration into the framework in order to normalize for timing differences within the stance phase. We refer to our software framework as STAPP: spatiotemporal analysis of plantar pressure measurements. Using STAPP, we tested our hypothesis on plantar pressure videos from 33 healthy subjects walking at different speeds.ResultsAs walking speed increased, STAPP was able to identify significant decreases in plantar pressure at mid-stance from the heel through the lateral forefoot. The extent of these plantar pressure decreases have not previously been observed using existing plantar pressure analysis techniques.SignificanceWe therefore conclude that the subsampling of plantar pressure videos - a task which led to the discarding of gait information in our study - can be avoided using STAPP. Subject PedobarographyWalking SpeedStatistical Parametric MappingSpatiotemporal Analysis To reference this document use: http://resolver.tudelft.nl/uuid:37a1b461-c89c-4053-b414-1dd0a5a891fb DOI https://doi.org/10.1016/j.gaitpost.2018.04.029 Embargo date 2019-05-26 ISSN 0966-6362 Source Gait & Posture, 63, 268-275 Bibliographical note Accepted author manuscript Part of collection Institutional Repository Document type journal article Rights © 2018 Brian G. Booth, Noël L.W. Keijsers, Jan Sijbers, T. Huysmans Files PDF STAPP.pdf 1.17 MB Close viewer /islandora/object/uuid:37a1b461-c89c-4053-b414-1dd0a5a891fb/datastream/OBJ/view