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

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.

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Publication Details

Journal
Restorative Neurology and Neuroscience
Published
2025-10-03
DOI
https://doi.org/10.1177/09226028251384400
Primary Topic
Muscle activation and electromyography studies
Type
article
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article

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

Sierra A. Foley, Chandramouli Krishnan, Andrew Moul, Edward P. Washabaugh
Restorative Neurology and Neuroscience
Muscle activation and electromyography studies
article

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

Sierra A. Foley, Chandramouli Krishnan, Andrew Moul, Edward P. Washabaugh
article en

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.

Restorative Neurology and Neuroscience
Wayne State University (US), University of Michigan (US)
Openalex Percentile: Top 74%
Muscle activation and electromyography studies
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