pressuRe: an R package for analyzing and visualizing biomechanical pressure distribution data.

Autor: Telfer S; Department of Orthopaedics and Sports Medicine, University of Washington, 1959 NE Pacific St, Seattle, WA, 98195, USA. telfers@uw.edu.; Center for Limb Loss and MoBility, VA Puget Sound Healthcare System, Seattle, WA, USA. telfers@uw.edu.; Department of Mechanical Engineering, University of Washington, Seattle, WA, USA. telfers@uw.edu., Li EY; Center for Limb Loss and MoBility, VA Puget Sound Healthcare System, Seattle, WA, USA.; Department of Mechanical Engineering, University of Washington, Seattle, WA, USA.
Jazyk: angličtina
Zdroj: Scientific reports [Sci Rep] 2023 Oct 05; Vol. 13 (1), pp. 16776. Date of Electronic Publication: 2023 Oct 05.
DOI: 10.1038/s41598-023-44041-6
Abstrakt: In many biomechanical analyses, the forces acting on a body during dynamic and static activities are often simplified as point loads. However, it is usually more accurate to characterize these forces as distributed loads, varying in magnitude and direction, over a given contact area. Evaluating these pressure distributions while they are applied to different parts of the body can provide effective insights for clinicians and researchers when studying health and disease conditions, for example when investigating the biomechanical factors that may lead to plantar ulceration in diabetic foot disease. At present, most processing and analysis for pressure data is performed using proprietary software, limiting reproducibility, transparency, and consistency across different studies. This paper describes an open-source software package, 'pressuRe', which is built in the freely available R statistical computing environment and is designed to process, analyze, and visualize pressure data collected on a range of different hardware systems in a standardized manner. We demonstrate the use of the package on pressure dataset from patients with diabetic foot disease, comparing pressure variables between those with longer and shorter durations of the disease. The results matched closely with those from commercially available software, and individuals with longer duration of diabetes were found to have higher forefoot pressures than those with shorter duration. By utilizing R's powerful and openly available tools for statistical analysis and user customization, this package may be a useful tool for researchers and clinicians studying plantar pressures and other pressure sensor array based biomechanical measurements. With regular updates intended, this package allows for continued improvement and we welcome feedback and future contributions to extend its scope. In this article, we detail the package's features and functionality.
(© 2023. Springer Nature Limited.)
Databáze: MEDLINE
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