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Updated: Mar 18, 2026

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3-D Evaluation of Abnormal Upper Extremity Joint Coupling Post-Stroke.

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    IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society
    |March 16, 2026
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    Summary
    This summary is machine-generated.

    Stroke survivors exhibit abnormal upper extremity (UE) joint coupling, both in-plane and out-of-plane. This abnormal coupling significantly impacts functional arm use and movement quality after stroke.

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    Area of Science:

    • Neurorehabilitation
    • Biomechanics
    • Human Movement Science

    Background:

    • Stroke frequently causes abnormal upper extremity (UE) joint coupling, limiting independent joint control and functional arm use.
    • Previous research primarily focused on in-plane joint coupling, neglecting out-of-plane movements crucial for coordinated motion across all UE degrees of freedom (DOFs).

    Purpose of the Study:

    • To develop and validate a 3D motion capture-based method for evaluating both in-plane and out-of-plane joint coupling across seven UE DOFs.
    • To introduce a novel Joint Coupling Ratio (JCR) for quantifying these coupling patterns.
    • To investigate the contribution of abnormal in- and out-of-plane joint coupling to functional deficits post-stroke.

    Main Methods:

    • Utilized 3D motion capture to assess joint coupling during isolated shoulder, elbow, and wrist movements and an object transfer task in 18 individuals post-stroke.
    • Developed and applied a method to calculate the in- and out-of-plane Joint Coupling Ratio (JCR) for seven UE DOFs.
    • Employed hierarchical regression analysis to determine the relationship between joint coupling abnormalities and functional task deficits.

    Main Results:

    • Abnormal in- and out-of-plane joint coupling was observed in the paretic arm of individuals post-stroke, indicated by significantly higher JCR values compared to the non-paretic arm.
    • A regression model incorporating both in- and out-of-plane joint coupling explained a significant 33.8% of the variance in functional deficits, including movement duration, hand trajectory smoothness, trunk displacement, hand movement extent, and peak velocity time.
    • Models using only in-plane or out-of-plane coupling explained less variance than the combined model.

    Conclusions:

    • The developed evaluation method advances the understanding of post-stroke abnormal joint coupling across all UE DOFs.
    • Assessing both in- and out-of-plane joint coupling provides a more comprehensive understanding of stroke-induced impairments in independent UE joint control.
    • These findings highlight the importance of considering multi-planar joint coupling for effective rehabilitation strategies aimed at improving functional arm use after stroke.