Shin Hee-Sup, Kim Jihye, Fadell Nicholas, Pewitt Logan B, Shaaban Yusuf, Liu Claire, Jo Min-Seung, Bozovic Josif, Tzavelis Andreas, Park Minsu, Koogler Kelly, Kim Jin-Tae, Yoo Jae-Young, Rogers John A, Pet Mitchell A
Querrey Simpson Institute for Bioelectronics, Northwestern University, Evanston, IL, 60208, USA.
School of Science and Engineering, University of Missouri-Kansas City, Kansas City, MO, 64110, USA.
Nat Commun. 2025 May 13;16(1):4426. doi: 10.1038/s41467-025-59619-z.
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.
运动干预期间的连续运动学生物反馈可改善手部和腕部康复的治疗效果。传统的关节运动学测量方法通常只允许经过专门训练的治疗师进行静态测量。本文介绍了贴合皮肤的可穿戴无线系统，旨在连续、准确地捕捉目标关节的角度，特别是手部和腕部的关节角度。这些基于磁力计的独立系统由在智能设备上运行的基于计算机视觉的校准协议支持，通过直观的图形界面为患者和临床医生提供有关关节角度和运动范围的连续实时数据。在健康志愿者身上进行的人体试验证明了电子测角系统的准确性和精确性，以及它与模拟手部治疗的兼容性。我们还证明了电子测角系统适用于跟踪复杂和快速的运动，以及在职业任务中部署，在这些任务中它可以作为一种生物反馈设备，警告过度和临床禁忌的运动。
