ARCGen - Arc-length-based averaging and statistics - File Exchange

ARCGen - Arc-length-based averaging and statistics

Version 2023.1 (14.3 MB) by Devon Hartlen

A generalized method for computing an average and statistical response corridors from experimental signals

https://github.com/IMMC-UWaterloo/ARCGen

0.0

(0)

39 Downloads

Updated 6 Feb 2023

View License on GitHub

Biofidelity response corridors are commonly used to assess the performance of surrogates such as computational models or anthropomorphic test devices while capturing the variability of experimental data. ARCGen represents a generalized method for computing response corridors and the characteristic average of experimental data capable of accommodating most types of input signals, including experimental data that is time-based, cross-variable, non-monotonic, and/or hysteretic. ARCGen is distributed as a single MATLAB function.

Please refer to the Github repository for full package documentation and usage, as well as the Hartlen and Cronin (2022) for rigorous coverage of the subject.

ARCGen is also available in Python!

ARCGen-Python is released under the open-sourced GNU GPL v3 license. No warranty or guarantee of support is provided. The authors hold no responsibility for the validity, accuracy, or applicability of any results obtained from this code.

Cite As

Hartlen, Devon C., and Duane S. Cronin. “Arc-Length Re-Parametrization and Signal Registration to Determine a Characteristic Average and Statistical Response Corridors of Biomechanical Data.” Frontiers in Bioengineering and Biotechnology, vol. 10, Frontiers Media SA, Mar. 2022, doi:10.3389/fbioe.2022.843148.

View more styles

MATLAB Release Compatibility

Created with R2022b

Compatible with R2020b and later releases

Platform Compatibility

Windows macOS Linux

Tags Add Tags

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

TestCases

TestCases/Lessley Parabolas

SynthesizeLessleyParameters.m

TestCases/NBDL 15g Frontal

PreProcessNbdlData.m

ThirdPartyFunctions

Versions that use the GitHub default branch cannot be downloaded

Version	Published	Release Notes
2023.1	6 Feb 2023	A revised envelope-splitting algorithm was introduced for increased stability. Code suggestions added.
2022.3	30 Aug 2022	Connection to Github
2022.2	30 Aug 2022		Zip Toolbox

To view or report issues in this GitHub add-on, visit the GitHub Repository.

MLA	Hartlen, Devon C., and Duane S. Cronin. “Arc-Length Re-Parametrization and Signal Registration to Determine a Characteristic Average and Statistical Response Corridors of Biomechanical Data.” Frontiers in Bioengineering and Biotechnology, vol. 10, Frontiers Media SA, Mar. 2022, doi:10.3389/fbioe.2022.843148.
APA	Hartlen, D. C., & Cronin, D. S. (2022). Arc-Length Re-Parametrization and Signal Registration to Determine a Characteristic Average and Statistical Response Corridors of Biomechanical Data. Frontiers in Bioengineering and Biotechnology, 10. Frontiers Media SA. Retrieved from https://doi.org/10.3389%2Ffbioe.2022.843148
BibTeX	@article{Hartlen_2022, doi = {10.3389/fbioe.2022.843148}, url = {https://doi.org/10.3389%2Ffbioe.2022.843148}, year = 2022, month = {mar}, publisher = {Frontiers Media {SA}}, volume = {10}, author = {Devon C. Hartlen and Duane S. Cronin}, title = {Arc-Length Re-Parametrization and Signal Registration to Determine a Characteristic Average and Statistical Response Corridors of Biomechanical Data}, journal = {Frontiers in Bioengineering and Biotechnology} }