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The Electronic Grip Gauge (EGG): Automated Assessment of Sensorimotor Hand Function Using an Instrumented Fragile

Michael D Adkins, Tyler J Gourley, Tyler S Davis

    IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society
    |April 10, 2026
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    Summary

    The Electronic Grip Gauge (EGG) assesses hand grip force control in individuals with upper-limb hemiparesis. This device shows promise for both evaluating sensorimotor deficits and aiding rehabilitation through feedback.

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    Area of Science:

    • Rehabilitation Engineering
    • Neurorehabilitation
    • Biomechanics

    Background:

    • Hand dexterity is crucial for daily activities, but assessing precise grip force control in hemiparesis is challenging.
    • Existing methods often fail to capture the nuances of grip force regulation, impacting rehabilitative care.
    • Precise grip force control is vital for handling everyday objects, especially fragile ones.

    Purpose of the Study:

    • To introduce the Electronic Grip Gauge (EGG), a novel instrumented object for quantifying grip force control.
    • To evaluate the EGG's effectiveness in assessing sensorimotor deficits in individuals with upper-limb hemiparesis.
    • To explore the potential of the EGG as a rehabilitation tool, particularly with audiovisual feedback.

    Main Methods:

    • Designed an adjustable-weight, instrumented object (EGG) measuring grip force, load force, acceleration, orientation, and position.
    • Implemented three transfer modes: Non-Fragile, Fragile (with auditory break cue), and Fragile-Feedback (with audio-visual feedback).
    • Assessed sensorimotor performance in 26 hemiparetic and 26 healthy participants using the EGG.

    Main Results:

    • Hemiparetic hands demonstrated significantly slower transfers, excessive force application, and higher breakage rates in Fragile mode compared to controls.
    • In Fragile-Feedback mode, a subset of hemiparetic participants showed improved performance, transferring the EGG faster and/or with reduced force.
    • The EGG successfully quantified sensorimotor deficits and highlighted the potential benefit of audiovisual feedback for some patients.

    Conclusions:

    • The EGG is a versatile tool for automatically assessing grip force control deficits in hemiparesis.
    • Audiovisual feedback via the EGG may offer a viable approach for coaching and rehabilitating hand function in specific patient groups.
    • The EGG shows potential as a dual-purpose device for both assessment and rehabilitation of critical grip force control skills in hand therapy.