This readme.txt file was generated on 2022-04-25 by Faizan Malik

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GENERAL INFORMATION
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Suggested citation for dataset: 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, https://doi.org/10.13020/2hh2-1t30.


1. Title of Dataset 
Grasp data and analysis tools for Tissue Mechanical Response in Porcine Models from in vivo to ex vivo Conditions

2. Author Information
Faizan Malik - malik036@umn.edu


  Principal Investigator Contact Information
        Name: Timothy Kowalewski
           Institution: University of Minnesota Medical Devices and Robotics Lab
           Email: timk@umn.edu
	   ORCID: 0000-0001-6596-3324


  Additional Contact Information
        Name: Bradley Drahos
           Institution: University of Minnesota Medical Devices and Robotics Lab
           Email: draho016@umn.edu
      ORCID: 0000-0002-6217-5653


3. Date published or finalized for release: 2022-04-25

4. Date of data collection (single date, range, approximate date) 20190715 - 20191028

5. Geographic location of data collection (where was data collected?): UMN Visible Heart Lab and Jackson Lab

6. Information about funding sources that supported the collection of the data: DEVCOM Army Research Laboratory (ARL) through the cooperative agreement manager Jack Norfleet under grant W911NF-14-2-0035.

7. Overview of the data (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.

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SHARING/ACCESS INFORMATION
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1. Licenses/restrictions placed on the data: CC0 1.0 Universal

2. Links to publications that cite or use the data: None as of upload

3. Was data derived from another source?
           If yes, list source(s): N/A

4. Terms of Use: Data Repository for the U of Minnesota (DRUM) By using these files, users agree to the Terms of Use. https://conservancy.umn.edu/pages/drum/policies/#terms-of-use


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DATA & FILE OVERVIEW
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1. File List
   A. Filename: GraspData.mat
      Short description: MATLAB Data file containing grasp data, curve fit coefficients, and various comments.

   B. Filename: Generate_AlphaBeta_v2.m
      Short description: MATLAB Script used to generate curve-fitting coefficients from grasps.
        
   C. Filename: PlotDerivative2.m
      Short description: MATLAB Script used to perform ANOVA analysis on derived stiffness.


2. Relationship between files: MATLAB Script files are used to perform analysis on "GraspData.m" data file.

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METHODOLOGICAL INFORMATION
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Instrument- or software-specific information needed to interpret the data: MATLAB r2020b. PlotDerivative2.m requires installation of Statistics and Machine Learning Toolbox. Generate_AlphaBeta_v2.m requires installation of Optimization tool box.

Design details of device that was used to "generate" the data: https://doi.org/10.1115/DMD2020-9089