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Nat. Commun., May 13 2025, 16 (1) | https://doi.org/10.1038/s41467-025-59619-z
Soft, skin-interfaced wireless electrogoniometry systems for continuous monitoring of finger and wrist joints
Hee-Sup Shin1,2,16, Jihye Kim3,4,16, Nicholas Fadell5, Logan B. Pewitt6, Yusuf Shaaban1,7, Claire Liu1,8, Min-Seung Jo1, Josif Bozovic1,9, Andreas Tzavelis1,9, Minsu Park10, Kelly Koogler5, Jin-Tae Kim11, Jae-Young Yoo12, John A. Rogers1,9,13,14,15 & Mitchell A. Pet5
1Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA.
2School of Science and Engineering, University of Missouri-Kansas City, Kansas City, MO 64110, USA.
3Department of Molecular Science and Technology, Ajou University, Suwon 16499, Republic of Korea.
4Advanced College of Bio-convergence Engineering, Ajou University, Suwon 16499, Republic of Korea.
5Division of Plastic and Reconstructive Surgery, Department of Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA.
6Milliken Hand Rehabilitation Center, Washington University School of Medicine, St. Louis, MO 63110, USA.
7Department of Mechanical Engineering, Case Western Reserve University, Cleveland, OH 44106, USA.
8Chan Zuckerberg Biohub Chicago, Chicago, IL 60607, USA.
9Department of Biomedical Engineering, Northwestern University, Evanston, IL 60208, USA.
10Department of Polymer Science and Engineering, Dankook University, Yongin 16890, Republic of Korea.
11Department of Mechanical Engineering, Pohang University of Science and Technology, Pohang 37673, Republic of Korea.
12Department of Semiconductor Convergence Engineering, Sungkyunkwan University, Suwon 16417, Republic of Korea.
13Department of Material Science and Engineering, Northwestern University, Evanston, IL 60208, USA.
14Department of Mechanical Engineering, Northwestern University, Evanston, IL 60208, USA.
15Department of Neurological Surgery, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA.
16These authors contributed equally: Hee-Sup Shin, Jihye Kim.
Corresponding authors
Correspondence to Jin-Tae Kim, Jae-Young Yoo, John A. Rogers or Mitchell A. Pet.
1Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL 60208, USA.
2School of Science and Engineering, University of Missouri-Kansas City, Kansas City, MO 64110, USA.
3Department of Molecular Science and Technology, Ajou University, Suwon 16499, Republic of Korea.
4Advanced College of Bio-convergence Engineering, Ajou University, Suwon 16499, Republic of Korea.
5Division of Plastic and Reconstructive Surgery, Department of Surgery, Washington University School of Medicine, St. Louis, MO 63110, USA.
6Milliken Hand Rehabilitation Center, Washington University School of Medicine, St. Louis, MO 63110, USA.
7Department of Mechanical Engineering, Case Western Reserve University, Cleveland, OH 44106, USA.
8Chan Zuckerberg Biohub Chicago, Chicago, IL 60607, USA.
9Department of Biomedical Engineering, Northwestern University, Evanston, IL 60208, USA.
10Department of Polymer Science and Engineering, Dankook University, Yongin 16890, Republic of Korea.
11Department of Mechanical Engineering, Pohang University of Science and Technology, Pohang 37673, Republic of Korea.
12Department of Semiconductor Convergence Engineering, Sungkyunkwan University, Suwon 16417, Republic of Korea.
13Department of Material Science and Engineering, Northwestern University, Evanston, IL 60208, USA.
14Department of Mechanical Engineering, Northwestern University, Evanston, IL 60208, USA.
15Department of Neurological Surgery, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA.
16These authors contributed equally: Hee-Sup Shin, Jihye Kim.
Corresponding authors
Correspondence to Jin-Tae Kim, Jae-Young Yoo, John A. Rogers or Mitchell A. Pet.
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.
논문정보
- Research article
- 2025년 05월 (BRIC 등록일 2025-05-15)
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