Tong Feiyu, Wang Ting, Li Ming, Yin Bowen, Li Yutian, Yang Yingkui, Tian Mingwei
Textile and Clothing College, Qingdao University, Qingdao 266071, China.
Textile College, Donghua University, Shanghai 201620, China.
ACS Appl Mater Interfaces. 2025 Jan 22;17(3):5165-5175. doi: 10.1021/acsami.4c17207. Epub 2025 Jan 11.
Fiber-based strain sensors, as wearable integrated devices, have shown substantial promise in health monitoring. However, current sensors suffer from limited tunability in sensing performance, constraining their adaptability to diverse human motions. Drawing inspiration from the structure of the spiranthes sinensis, this study introduces a unique textile wrapping technique to coil flexible silver (Ag) yarn around the surface of multifilament elastic polyurethane (PU), thereby constructing a helical structure fiber-based strain sensor. The synergistic interaction between the elastic PU core and the outer helical Ag yarn enhances the mechanical strength and stretchability of the sensor, while the external helical Ag yarn offers high conductivity. By adjusting the spacing of Ag yarn coils on the surface of the fiber-based sensor, we achieve precise control over both sensing sensitivity and strain range. Specifically, experimental results show that with a pitch of 1.25 mm, the strain range reaches up to 150%, and the gauge factor (GF) is 2.6; when the pitch is adjusted to 5 mm, within a 60% strain range, the GF value significantly increases to 9.3. Based on these excellent performance metrics, we further apply the sensor as a conductor in ECG monitoring garments, successfully verifying its practicality in cardiac monitoring. Additionally, we developed a smart glove for hand function rehabilitation training, utilizing wireless signal transmission to promote hand function recovery in hemiplegic patients. The sensor is also capable of effectively monitoring respiratory rate and pulse, showing broad prospects in the fields of rehabilitation medicine and smart healthcare.
基于纤维的应变传感器作为可穿戴集成设备,在健康监测方面已展现出巨大潜力。然而,目前的传感器在传感性能方面的可调性有限,限制了它们对各种人体运动的适应性。本研究从绶草的结构中获得灵感,引入了一种独特的纺织包裹技术,将柔性银(Ag)纱线缠绕在复丝弹性聚氨酯(PU)表面,从而构建了一种基于螺旋结构纤维的应变传感器。弹性PU芯与外部螺旋Ag纱线之间的协同相互作用增强了传感器的机械强度和拉伸性,而外部螺旋Ag纱线提供了高导电性。通过调整基于纤维的传感器表面Ag纱线线圈的间距,我们实现了对传感灵敏度和应变范围的精确控制。具体而言,实验结果表明,当节距为1.25毫米时,应变范围可达150%,应变片系数(GF)为2.6;当节距调整为5毫米时,在60%的应变范围内,GF值显著增加至9.3。基于这些优异的性能指标,我们进一步将该传感器用作心电图监测服装中的导体,成功验证了其在心脏监测中的实用性。此外,我们开发了一种用于手部功能康复训练的智能手套,利用无线信号传输促进偏瘫患者手部功能恢复。该传感器还能够有效监测呼吸频率和脉搏,在康复医学和智能医疗领域展现出广阔前景。