3D-Printed Wearable Sensors for the Identification of Shoulder Movement Planes.

IF 3.5 3区 综合性期刊 Q2 CHEMISTRY, ANALYTICAL
Sensors Pub Date : 2025-09-19 DOI:10.3390/s25185853
Alfredo Dimo, Umile Giuseppe Longo, Pieter D'Hooghe, Alessandro de Sire, Rocco Papalia, Emiliano Schena, Daniela Lo Presti
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引用次数: 0

Abstract

Rotator cuff injuries are a leading cause of shoulder disability, directly impacting joint mobility and overall quality of life. Effective recovery in these patients depends not only on surgical intervention, when necessary, but also on accurate and continuous monitoring of joint movements during rehabilitation, especially across multiple anatomical planes. Traditional tools, such as clinical assessments or motion capture systems, are often subjective or expensive and impractical for routine use. In this context, wearable devices are emerging as a viable alternative, offering the ability to collect real-time, non-invasive, and repeatable data, both in clinical and home settings. This study presents innovative wearable sensors, developed through 3D printing and integrated with fiber Bragg grating technology, designed to detect the shoulder's planes of motion (sagittal, scapular, and frontal) during flexion-extension movements. Two wearable sensors made of thermoplastic polyurethane (TPU 85A and 95A) were fabricated and subjected to metrological characterization, including strain and temperature sensitivity, hysteresis error, and tear resistance, and tested on eight healthy volunteers. The results demonstrated high discriminative ability, with sensitivity values up to 0.76 nm/mε and low hysteresis errors. The proposed system represents a promising, cost-effective, and customizable solution for motion monitoring during shoulder rehabilitation.

用于肩部运动平面识别的3d打印可穿戴传感器。
肩袖损伤是导致肩部残疾的主要原因,直接影响关节活动和整体生活质量。这些患者的有效康复不仅取决于必要时的手术干预,还取决于康复过程中关节运动的准确和连续监测,特别是跨多个解剖平面的监测。传统的工具,如临床评估或动作捕捉系统,往往是主观的或昂贵的,不适合日常使用。在这种情况下,可穿戴设备正在成为一种可行的替代方案,它提供了在临床和家庭环境中收集实时、非侵入性和可重复数据的能力。这项研究提出了创新的可穿戴传感器,通过3D打印开发并集成了光纤布拉格光栅技术,旨在检测屈伸运动时肩膀的运动平面(矢状面、肩胛骨面和正面面)。制作了两个热塑性聚氨酯(TPU 85A和95A)可穿戴传感器,并对其进行了应变和温度敏感性、滞后误差和抗撕裂性能的计量学表征,并在8名健康志愿者身上进行了测试。结果表明,该方法判别能力强,灵敏度可达0.76 nm/mε,滞后误差小。该系统为肩部康复期间的运动监测提供了一种有前途的、具有成本效益的、可定制的解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Sensors
Sensors 工程技术-电化学
CiteScore
7.30
自引率
12.80%
发文量
8430
审稿时长
1.7 months
期刊介绍: Sensors (ISSN 1424-8220) provides an advanced forum for the science and technology of sensors and biosensors. It publishes reviews (including comprehensive reviews on the complete sensors products), regular research papers and short notes. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced.
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