Evidence map›Paper›PMID 41042993›Full record

ArticleRestorative neurology and neuroscience2026

Determining the Validity of 2D Motion Capture for Estimating Lower Extremity Joint Quasi-Stiffness During Gait in Chronic Stroke Survivors.

Sierra A Foley, Andrew F Moul, Chandramouli Krishnan, Edward P Washabaugh

Abstract read
In one paragraph

Article in Restorative neurology and neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Sierra A FoleyDepartment of Biomedical Engineering, Wayne State University, Detroit, MI, USA.ORCID 0009-0008-7969-5998
Andrew F MoulDepartment of Physical Therapy, Wayne State University, Detroit, MI, USA.
Chandramouli KrishnanNeuromuscular & Rehabilitation Robotics Laboratory (NeuRRo Lab), Department of Physical Medicine and Rehabilitation, Biomedical Engineering, Mechanical Engineering, and School of Kinesiology, University of Michigan, Ann Arbor, Michigan, USA.ORCID 0000-0002-7278-7389
Edward P WashabaughDepartment of Biomedical Engineering, Wayne State University, Detroit, MI, USA.ORCID 0000-0002-1038-0954

Funding

Functional implications of stroke and Botulinum Neurotoxin on ankle stiffness and viscosity during gaitR01HD111567 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CHANDRAMOULI KRISHNAN, Elliott J Rouse · 2023 to 2026
$2.5M
NICHD NIH HHS R01 HD111567
6 · The paper itself

Abstract

Altered joint stiffness is common after stroke, yet clinically feasible tools to objectively quantify joint stiffness during walking are lacking. Quasi-stiffness, defined as the slope of the joint torque-angle curve, can serve as a surrogate measure of stiffness; however, it typically requires expensive 3D motion capture systems. 2D motion capture is a potential low-cost alternative for measuring quasi-stiffness in the sagittal plane; however, it is unclear if it can accurately estimate quasi-stiffness in patient populations that often exhibit out-of-plane motions. Therefore, in this study, we aimed to identify the minimal data required to accurately estimate joint quasi-stiffness. To do so, we evaluated the agreement between quasi-stiffness measurements obtained from 3D data in fifteen individuals with chronic stroke and from a simulated set of 2D data reconstructed from the 3D coordinates. Lower-extremity kinematic and kinetic data during overground walking were collected using a 3D motion capture system and an embedded force plate. To simulate 2D data, 3D maker data were projected to a simulated camera lens positioned to view sagittal motions, and medio-lateral components of the ground reaction force data were removed. Joint angles and moments at the hip, knee, and ankle were computed for both datasets using inverse dynamics, and quasi-stiffnesses of these joints were estimated during the stance phase. A linear mixed model was used to evaluate the effects of quantification method (2D, 3D) and stroke limb (paretic, non-paretic) on quasi-stiffness. Bland-Altman analyses and Intraclass correlation coefficients (ICCs) were used to evaluate the agreement between 2D and 3D measurements. The results indicated that 2D quasi-stiffness measurements were generally in agreement with the 3D quasi-stiffness measurements (Δ: -0.008-0.007 Nm/deg/kg; ICC: 0.576-0.927 [range]), although the 2D measurements slightly overestimated quasi-stiffness for some joints. Additionally, we found that quasi-stiffness was significantly higher in the paretic limb when the ankle was plantarflexing (Δ: 0.024 Nm/deg/kg) compared to the non-paretic limb. The results of this study suggest that quasi-stiffness can be validly estimated using 2D data, supporting the development of low-cost 2D systems for clinical settings to measure and monitor joint stiffness after stroke.

Indexed as

GaitGait Disorders, NeurologicLower ExtremityStrokeAgedBiomechanical PhenomenaChronic DiseaseFemaleHumansMaleMiddle AgedMotion CaptureReproducibility of Resultsbiomechanicsfunctionmovementrehabilitationtherapy

Identifiers

PMID41042993
PMCPMC13012860

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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.