School of Integrated Circuits and Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing 100084, China.
Department of Electronic Engineering, Tsinghua University, Beijing 100084, China.
ACS Nano. 2021 Nov 23;15(11):17738-17747. doi: 10.1021/acsnano.1c05701. Epub 2021 Nov 1.
Textiles are materials that are extensively used in everyday life; textile-based sensors can, therefore, be regarded as ideal devices for a health monitor. However, previously reported textile sensors have limited prospects due to their single function or incompatibility. Traditional textile sensors generally focus on signal detection, which has not been able to be combined with an actuator to provide real-time health status feedback. Thus, to date, there are no well-established health monitoring systems based on intelligent textiles. Herein, we present a wearable batch-prepared graphene-based textile based on laser-scribing and thermal-transfer technology. Integrated with four functions of strain sensing, pressure sensing, physiological electrical sensing, and sound emitting, the GT is able to detect human body signals and transduce them to sound signals when the user is in an abnormal physical state. Moreover, the GT has high linearity for both strain and pressure sensing; the coefficients of determination exceed 99.3% and 98.2%, respectively. The performance of the device remains stable up to a pressure of 1000 kPa. The response time of the GT possession reaches as low as 85 ms at 4.2 Pa pressure. Therefore, due to their diversified functions and good performance, the research on GT is expected to extend to the fields of health monitoring, sports monitoring, and so forth.
纺织品是日常生活中广泛使用的材料;因此,基于纺织品的传感器可以被视为健康监测的理想设备。然而,由于其单一功能或不兼容,以前报道的纺织品传感器的前景有限。传统的纺织品传感器通常侧重于信号检测,尚未能够与执行器结合以提供实时健康状况反馈。因此,迄今为止,还没有基于智能纺织品的成熟的健康监测系统。在这里,我们展示了一种基于激光刻划和热转移技术的可穿戴批量制备的基于石墨烯的纺织品。GT 集成了应变感应、压力感应、生理电感应和发声四个功能,能够检测人体信号,并在用户处于异常身体状态时将其转换为声音信号。此外,GT 对应变和压力的感应具有很高的线性度;决定系数分别超过 99.3%和 98.2%。该设备的性能在高达 1000kPa 的压力下保持稳定。GT 的响应时间在 4.2Pa 压力下低至 85ms。因此,由于其多样化的功能和良好的性能,预计对 GT 的研究将扩展到健康监测、运动监测等领域。