Evidence map›Paper›PMID 39237576›Full record

ArticleScientific reports2024

A new method called MiKneeSoTA to minimize knee soft-tissue artifacts in kinematic analysis.

Ann-Kathrin Einfeldt, Leon Budde, Ariana Ortigas-Vásquez, Adrian Sauer, Michael Utz, Eike Jakubowitz

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Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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5citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Ann-Kathrin EinfeldtLaboratory for Biomechanics and Biomaterials, Department of Orthopaedic Surgery, Hannover Medical School, Anna-von-Borries-Str. 1-7, 30625, Hannover, Germany.
Leon BuddeLeibniz Universität Hannover, Institute of Mechatronic Systems, An der Universität 1, 30823, Garbsen, Germany.
Ariana Ortigas-VásquezResearch and Development, Aesculap AG, Am Aesculap-Platz, 78532, Tuttlingen, Germany.
Adrian SauerResearch and Development, Aesculap AG, Am Aesculap-Platz, 78532, Tuttlingen, Germany.
Michael UtzResearch and Development, Aesculap AG, Am Aesculap-Platz, 78532, Tuttlingen, Germany.
Eike JakubowitzLaboratory for Biomechanics and Biomaterials, Department of Orthopaedic Surgery, Hannover Medical School, Anna-von-Borries-Str. 1-7, 30625, Hannover, Germany. Jakubowitz.Eike@mh-hannover.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of marker-based optical motion capture to estimate joint kinematics during gait is currently limited by errors associated with soft-tissue-induced motion artefacts (STIMA) and ambiguity in landmark palpation. This study therefore presents a novel protocol aiming to Minimize Knee Soft-Tissue Artefacts (MiKneeSoTA) and their effect on kinematic estimates. Relying on an augmented marker set and a new inverse kinematics approach, our method leverages frame-by-frame optimization to adjust best-fit cylinders that have been automatically generated based on the relative position of lower limb markers during an initial static trial. Tibiofemoral rotations and translations are then calculated along the anatomical joint axes based on the relative 3D motion of these cylinders. When compared against the conventional Helen-Hayes approach, in vivo assessment of fifteen healthy subjects revealed the MiKneeSoTA approach led to kinematic profiles with significantly lower standard deviations in joint rotations across trials, and even visibly reduced the presence of high frequency fluctuations presumably associated with e.g. soft-tissue vibration. In addition to agreeing with previously published bone pin and fluoroscopy datasets, our results illustrate MiKneeSoTA's ability to abate the effect of STIMA induced by lateral knee ligaments. Our findings indicate that MiKneeSoTA is in fact a promising approach to mitigate knee joint STIMA and thus enable the previously unattainable accurate estimation of translational knee joint motion with an optoelectronic system.

Indexed as

ArtifactsKnee JointAdultBiomechanical PhenomenaFemaleGaitHumansMaleRange of Motion, Articular

Identifiers

PMID39237576
PMCPMC11377703

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.