CRES 813 Processing Data for Publication
This course will build on data collected and processed in previous courses, preparing the student to disseminate the data collected in poster, platform, or manuscript format. Advanced data processing of raw data of imaging, or kinematics and kinetics, includes determining data points of interest to utilize in statistical analysis, and include best practices for presentation and publication.
Student Learning Outcomes
- 1. Post-process data using biomechanical movement software potentially including Visual 3D, Inspect 3D, Python, R, OpenSim, LabView, and Matlab.
- 2. Define musculoskeletal models in the context of turning 3D position data from marker or markerless system into rigid body systems used to calculate things like joint angles.
- 3. Process surface EMG data for amplitude and frequency-based assessments
- 4. Create musculoskeletal model in relation to estimating muscle contractions
- 5. Perform statistical parametric mapping, functional principal component analysis, and other 1-dimensional time series based statistical methods