TableOfContents()

Target Outcome

Loading and boundary conditions (kinematics-kinetics) reflecting experimentation, which are represented in model coordinate systems

• Access data in tdms file from tibiofemoral joint experimentation
• Process kinematic and kinetic data

  • Input & validation data for FE model

• Analyze reproducibility data (anterior-posterior laxity)

Prerequisites

Include(Infrastructure/AuxiliarySoftware, "Infrastructure", 2, from="= Scripting & Numerical Analysis =", to="= Finite Element Analysis =")

Previous Protocols

• ["Specifications/ExperimentationAnatomicalImaging"]
• ["Specifications/ExperimentationJointMechanics"]
• ["Specifications/Registration"]

Protocols

Input

• Model coordinate systems and transformation matrices (obtained from imaging)
• Experimentation coordinate systems and transformation matrices (obtained from joint mechanics testing)
• Transformation matrices for registration of imaging and joint testing coordinate systems (obtained from registration)

• Access script from source code repository: https://simtk.org/websvn/wsvn/openknee/utl/SimVitro/#_utl_SimVitro_

  • Script: tdms_plotting.py

• Processing data (use script tdms_plotting.py):
  • Tdms files (Main Processed Data File)
    • Filename: Experiment Run Number_Experiment Run Name + “_Main” + “_Processed”
    • File extension: “.tdms”
    • File Format: binary
    • File Type: NI TDMS
  • Text file with paths to tdms files within (include extension)

• Reproducibility data (use script tdms_plotting.py):

  • Data from three AP laxity tests at 30 degree flexion
  • Text file with path to the three tdms file within (include extension)

Procedures

• Use nptdms module to access data
  • Figure 1: Data file hierarchy of tdms file
• Processing data:
  • Find "time windows" during desired kinetics (Channel: Kinetics.JCS.Desired). "Time windows" are periods of time in which a constant force or torque is applied.
    • Figure 2 indicates raw desired kinetics and processed desired kinetics.
  • Use "time windows" to process actual kinetics (Channel: State.JCS Load) and actual kinematics (Channel: State.Knee JCS).
    • Figures 3 and 4 show examples of processed kinematic and kinetic data.
• Reproducibility testing:
  • Process kinematic/kinetic data from AP laxity 30 degrees flexion tests
    • Enter '1' when prompted to run analysis for reproducibility testing (tdms_plotting.py)
  • Compare differences between all combinations of the three reproducibility tests using RMSD

    • Compare tests 1 & 2, 1 & 3, 2 & 3

Output

• Joint kinematics-kinetics information
  • Experimental kinematics and/or kinetics described in a form that can be directly applied to the model as inputs.
  • Experimental kinematics and/or kinetics described in a form that can be directly compared to the model outputs.

• Processed kinematic & kinetic data

  • Folder with tdms file name with directory of tdms files
  • Plots of all raw data (path/filename/group.[png/svg])
  • Plots of processed kinematic/kinetic data (path/filename/group_processed.[png/svg])
  • Text file with processed kinematic/kinetic data (path/filename/group.txt)
• Reproducibility testing
  • Folder titled Repro_filename with directory of tdms files (filename = 1st reproducibility tdms file)
  • Plots comparing forces/torques and rotations/translations between tests (path/Repro_filename/group_forces.[png/svg])
  • Text file with processed kinematic/kinetic data (path/Repro_filename/group_Data_Repro.txt)
  • Text file with RMSD values (path/Repro_filename/RMSD_Repro_Table.txt)

Test Problem

-- ["aerdemir"] DateTime(2014-11-18T13:58:01Z) Reproducibility tests (30 degrees flexion anterior-posterior laxity) during characterization of tibiofemoral joint kinematics/kinetics can be a good candidate.