Identifying Internal and External Shoulder Rotation Using a Kirigami-Based Shoulder Patch

Abstract

Internal and external rotation of the shoulder is often challenging to quantify in the clinic. The current study evaluates a novel, engineered, wearable sensor system for improved internal and external shoulder rotation monitoring, and applies it in healthy individuals. Using the design principles of the Japanese art of kirigami (folding and cutting of paper to design 3D shapes), the sensor platform conforms to the shape of the shoulder with on-board strain gauges to measure movement. Our objective was to examine how well this kirigami-inspired shoulder patch could identify differences in shoulder kinematics between internal and external rotation as healthy individuals moved their humerus through specified movement patterns. Seventeen participants donned the wearable sensor on their right shoulder. Four strain gauges measured skin deformation patterns while participants moved their arm into internal or external rotation based on Codman's paradox. One-dimensional statistical parametric mapping explored differences in strain voltage change of the strain gauges between internally-directed and externally-directed movements. The kirigami shoulder sensor, with its four on-board strain gauges, detected distinct differences in the movement pattern of participants who performed prescribed movements that resulted in either internal or external shoulder rotation. Three of the four strain gauges detected significant temporal differences between internal and external rotation (all p <0.047), particularly for the strain gauges placed distal or posterior to the acromion. These results are clinically significant, as they suggest a new class of wearable sensors conforming to the shoulder can measure differences in skin surface deformation corresponding to the underlying humerus rotation.

Competing Interest Statement

The authors have declared no competing interest.

Funding Statement

This work was financially supported by the U.S. National Science Foundation (Graduate research fellowship awarded to Amani Alkayyali), the University of Michigan College of Engineering Seeding to Accelerate Research Themes (START) program (Max Shtein and Alanson Sample), and the University of Michigan Rackham Graduate School Graduate Student Research Grant (Amani Alkayyali).

Author Declarations

I confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained.

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The details of the IRB/oversight body that provided approval or exemption for the research described are given below:

The ethics committee at Imperial College London (United Kingdom) gave ethical approval for this work.

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I understand that all clinical trials and any other prospective interventional studies must be registered with an ICMJE-approved registry, such as ClinicalTrials.gov. I confirm that any such study reported in the manuscript has been registered and the trial registration ID is provided (note: if posting a prospective study registered retrospectively, please provide a statement in the trial ID field explaining why the study was not registered in advance).

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I have followed all appropriate research reporting guidelines, such as any relevant EQUATOR Network research reporting checklist(s) and other pertinent material, if applicable.

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Data Availability

All data produced in the present study are available upon reasonable request to the authors

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