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Open-source MATLAB and Python (ARCGen v1.6) toolboxes to determine the average response and assess variability for continuous data sets.

About

What it does

ARCGen is a robust and rigorous data analysis tool for analyzing families of continuous responses. Using arc-length re-parameterization and signal registration, ARCGen provides a consistent, repeatable approach to compute the average response and statistical bounds of signals that may be non-monotonic, highly oscillatory, and highly variable. Further, these averages and bounds intrinsically capture variability in multiple measurement axes simultaneously without distortion of the underlying data.

ARCGen was developed to address challenges faced in the injury biomechanics community, and is now the cornerstone tool in the arc-length-analysis framework that Arcus Analytica continues to develop and advance. ARCGen has seen wide adoption in the biomechanics community, as well as for the analysis of materials data in research and industry. Try ARCGen v1.6 on your datasets for free today!

Features

What is included

01
Arc-length Re-parameterization

Enables the analysis of many types of continuous signals including: monotonic, non-monotonic, oscillatory, hysteretic, and those with varying termination points.

02
Signal Registration

Provides automatic, robust, feature-based alignment of common response features without distortion or manual processing.

03
Robust and General

Unlike contemporary techniques, ARCGen is applicable across a wide range of data sets and fields, enabling a single consistent and reproducible analysis to be used nearly anywhere.

04
Multiaxial Assessments

ARCGen averages and statistical bounds automatically capture variability in multiple measurement axes simultaneously, providing a more detailed and statistically rigorous interpretation of the data.

05
Peer-reviewed

ARCGen's functionality is highly documented and peer-reviewed. This commitment to transparency has led to the wide adoption of ARCGen in the biomechanics research community.