Soft, skin-interfaced wireless electrogoniometry systems for continuous monitoring of finger and wrist joints

Hee-Sup Shin, Jihye Kim, Nicholas Fadell, Logan B. Pewitt, Yusuf Shaaban, Claire Liu, Min-Seung Jo, Josif Bozovic, Andreas Tzavelis, Minsu Park, Kelly Koogler, Jin-Tae Kim (), Jae-Young Yoo (), John A. Rogers () and Mitchell A. Pet ()
Additional contact information
Hee-Sup Shin: Northwestern University
Jihye Kim: Ajou University
Nicholas Fadell: Washington University School of Medicine
Logan B. Pewitt: Washington University School of Medicine
Yusuf Shaaban: Northwestern University
Claire Liu: Northwestern University
Min-Seung Jo: Northwestern University
Josif Bozovic: Northwestern University
Andreas Tzavelis: Northwestern University
Minsu Park: Dankook University
Kelly Koogler: Washington University School of Medicine
Jin-Tae Kim: Pohang University of Science and Technology
Jae-Young Yoo: Sungkyunkwan University
John A. Rogers: Northwestern University
Mitchell A. Pet: Washington University School of Medicine

Nature Communications, 2025, vol. 16, issue 1, 1-13

Abstract: Abstract Continuous kinematic biofeedback during exercise interventions can lead to improved therapeutic outcomes in hand and wrist rehabilitation. Conventional methods for measuring joint kinematics typically allow only static measurements performed by specially trained therapists. This paper introduces skin-conformal, wearable wireless systems designed to continuously and accurately capture the angles of target joints, specifically in hand and wrist. Supported by a computer vision-based calibration protocol run on a smart device, these magnetometer-based standalone systems provide patients and clinicians with continuous, real-time data on joint angles and ranges of motion through an intuitive graphical interface. Human trials in healthy volunteers demonstrate the accuracy and precision of the electrogoniometry system, as well as its compatibility with simulated hand therapy. We have also demonstrated the electrogoniometry system is suitable for tracking complex and rapid movements and for deployment during occupational tasks where it could serve as a biofeedback device to warn against excessive and clinically contraindicated motion.

Date: 2025
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DOI: 10.1038/s41467-025-59619-z

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