Unpaired Test for the Comparison of Frequency Response Functions Groups

TL;DR

This paper introduces a bootstrap-based unpaired statistical test to compare average frequency response functions in posture control experiments, enabling more robust analysis of experimental data.

Contribution

It presents a novel unpaired bootstrap test specifically designed for comparing frequency response functions in posture control studies.

Findings

The test effectively distinguishes differences between groups.

It provides a reliable statistical framework for FRF comparison.

The method improves analysis accuracy in experimental biomechanics.

Abstract

The frequency response function (FRF) is a typical way to describe the outcome of experiments where posture control is perturbed with an external stimulus. The FRF is an empirical transfer function between an input stimulus and the induced body segment sway profile, represented as a vector of complex values associated with a vector of frequencies. This work proposes an unpaired test based on bootstrap to compare the averages the outcome of posture control experiments.