Grasp data and analysis tools for Tissue Mechanical Response in Porcine Models from in vivo to ex vivo Conditions

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Collection period

2019-07-15
2019-10-28

Date completed

2022-04-25

Date updated

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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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Author Contact

Malik, Faizan
malik036@umn.edu

Type

Dataset
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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Funding information

DEVCOM Army Research Laboratory (ARL) grant W911NF-14-2-0035.

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Previously Published Citation

Suggested citation

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.zipData and scripts20.79 MB
readme.txtDescription of data and scripts4 KB

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