Reducing knee joint crosstalk using PCA correction

Eline Flux; Marjolein van der Krogt; J. Harlaar

doi:10.1016/j.gaitpost.2017.06.352

Abstract

Multiple marker protocols exist for analysing gait kinematics, however most models show crosstalk, particularly in the knee joint due to difficulties in aligning the flexion/extension (F/E) axis. These difficulties are enlarged in patient groups, such as children with cerebral palsy (CP) due to difficulties in palpation and deviations from model assumptions. Functional calibration might be effective in improving knee axes alignment [1], but is time consuming and difficult to perform. Therefore post hoc optimisation methods are preferable. The aim of this study is to outline the effects of a newly proposed post hoc method based on principal component analysis (PCA) to reduce crosstalk [2] in
commonly used models for gait analysis.

Original language	English
Pages	173-174
DOIs	https://doi.org/10.1016/j.gaitpost.2017.06.352
Publication status	Published - 2017
Event	26th Annual Meeting of the European Society for Movement analysis in Adults and Children (ESMAC 2017) - Trondheim, Norway Duration: 6 Sept 2017 → 9 Sept 2017

Conference

Conference	26th Annual Meeting of the European Society for Movement analysis in Adults and Children (ESMAC 2017)
Country/Territory	Norway
City	Trondheim
Period	6/09/17 → 9/09/17

Bibliographical note

Gait & Posture, Volume 57, Supplement 1, (September 2017)

Access to Document

10.1016/j.gaitpost.2017.06.352

Cite this

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AB - Multiple marker protocols exist for analysing gait kinematics, however most models show crosstalk, particularly in the knee joint due to difficulties in aligning the flexion/extension (F/E) axis. These difficulties are enlarged in patient groups, such as children with cerebral palsy (CP) due to difficulties in palpation and deviations from model assumptions. Functional calibration might be effective in improving knee axes alignment [1], but is time consuming and difficult to perform. Therefore post hoc optimisation methods are preferable. The aim of this study is to outline the effects of a newly proposed post hoc method based on principal component analysis (PCA) to reduce crosstalk [2] incommonly used models for gait analysis.

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