<b>Analysis source code for "</b><b>Multi-domain gait-function assessment with three IMUs in a soft exosuit using an age-conditional virtual-IMU reference</b><b>"</b>

<p dir="ltr">Python analysis scripts accompanying the article “Multi-domain gait-function assessment with three IMUs in a soft exosuit using an age-conditional virtual-IMU reference.”</p><p dir="ltr">The repository contains source code for two linked analyses:</p><ul><li>1-preparatory-analysis — virtual-IMU synthesis from motion-capture data, waveform agreement analysis, scalar gait-feature extraction, and feature-level reliability analysis.</li><li>2-main-analysis — real- and virtual-IMU signal conditioning, scalar gait-feature extraction, age-conditional normative scoring, comparison of four scoring models, feature attribution, clinical-scale association, and sensitivity analyses.</li><li>1-preparatory-modules and 2-main-modules — configuration files and reusable modules for data input, signal alignment, gait-cycle segmentation, kinematic reconstruction, normative scoring, validation, and plotting</li></ul><p dir="ltr">The code reproduces the preparatory virtual-to-real IMU agreement assessment and the main multi-domain gait-profile analyses reported in the article.

The main analysis compares participants with gait impairment against a motion-capture-derived virtual-IMU reference across gait domains and composite deviation scores.</p>