Chen Zhiling, Lv Kun, Zhao Renqiang, Lu Yaxian, Chen Ping
Center On Nanoenergy Research, Guangxi Key Laboratory for Relativistic Astrophysics, School of Physical Science and Technology, Guangxi University, Nanning 530004, China.
Nanomaterials (Basel). 2024 Dec 20;14(24):2044. doi: 10.3390/nano14242044.
Wearable devices have potential applications in health monitoring and personalized healthcare due to their portability, conformability, and excellent mechanical flexibility. However, their performance is often limited by instability in acidic or basic environments. In this study, a flexible sensor with excellent stability based on a GaN nanoplate was developed through a simple and controllable fabrication process, where the linearity and stability remained at almost 99% of the original performance for 40 days in an air atmosphere. Moreover, perfect stability was also demonstrated in acid-base environments, with pH values ranging from 1 to 13. Based on its excellent stability and piezotronic performance, a flexible device for motion monitoring was developed, capable of detecting motions such as finger, knee, and wrist bending, as well as swallowing. Furthermore, gesture recognition and intelligent fall monitoring were explored based on the bending properties. In addition, an intelligent fall warning system was proposed for the personalized healthcare application of elders by applying machine learning to analyze data collected from typical activities. Our research provides a path for stable and flexible electronics and personalized healthcare applications.
可穿戴设备因其便携性、贴合性和出色的机械柔韧性，在健康监测和个性化医疗保健方面具有潜在应用。然而，它们的性能常常受到酸性或碱性环境中稳定性的限制。在本研究中，通过一种简单且可控的制造工艺，开发出了一种基于氮化镓纳米片的具有出色稳定性的柔性传感器，在空气氛围中，其线性度和稳定性在40天内几乎保持在原始性能的99%。此外，在pH值范围为1至13的酸碱环境中也展现出了完美的稳定性。基于其出色的稳定性和压电子性能，开发了一种用于运动监测的柔性设备，能够检测手指、膝盖和手腕弯曲以及吞咽等动作。此外，基于弯曲特性探索了手势识别和智能跌倒监测。此外，通过应用机器学习分析从典型活动中收集的数据，为老年人的个性化医疗保健应用提出了一种智能跌倒预警系统。我们的研究为稳定且灵活的电子产品及个性化医疗保健应用提供了一条途径。
