Grasp data and analysis tools for Tissue Mechanical Response in Porcine Models from in vivo to ex vivo Conditions
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2019-07-15
2019-10-28
2019-10-28
Date completed
2022-04-25
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Title
Grasp data and analysis tools for Tissue Mechanical Response in Porcine Models from in vivo to ex vivo Conditions
Published Date
2022-04-27
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Malik, Faizan
malik036@umn.edu
malik036@umn.edu
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Dataset
Experimental Data
Programming Software Code
Experimental Data
Programming Software Code
Abstract
Grasp Data collected from various porcine tissues in different tissue states (in vivo, postmortem, ex-vivo, post-refrigeration, and post-thaw). The raw grasps have been filtered (excluding bad grasps, retest sites), segmented to the first grasp: data narrowed to timestamps corresponding to the start and end of the first grasp at each tissue testing site. Grasp curves were generated with the force (x-axis) and displacement (y-axis) data, and curve-fitting was applied to generate an alpha and beta value for each grasp.
The curve-fit values were used to obtain stiffness values for each grasp, and ANOVA analysis was performed on the derived stiffness values to compare sets of grasps.
All analysis was done using MATLAB, and included is the ".mat" file which contains all grasp data used for analysis, as well as the MATLAB scripts used for curve-fitting and ANOVA analysis.
This data is used in a PLOS One Journal submission.
Description
Experimental data and analysis scripts (all require MATLAB).
See readme for additional details.
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DEVCOM Army Research Laboratory (ARL) grant W911NF-14-2-0035.
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Malik, Faizan; Drahos, Bradley; Kowalewski, Timothy. (2022). Grasp data and analysis tools for Tissue Mechanical Response in Porcine Models from in vivo to ex vivo Conditions. Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/2hh2-1t30.
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Grasp_Data.zip
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(20.79 MB)
readme.txt
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(4 KB)
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