State Key Laboratory of Cognitive Neuroscience and Learning, Center for Cognition and Neuroergonomics, Beijing Normal University, Zhuhai 519087, China.
College of Science, Shenyang Aerospace University, Shenyang 110136, China.
ACS Appl Mater Interfaces. 2024 Feb 21;16(7):8333-8345. doi: 10.1021/acsami.3c16165. Epub 2024 Feb 7.
With the advantages of high flexibility, strong real-time monitoring capabilities, and convenience, wearable devices have shown increasingly powerful application potential in medical rehabilitation, health monitoring, the Internet of Things, and human-computer interaction. In this paper, we propose a novel and wearable optical microfiber intelligent sensor based on a wavy-shaped polymer optical microfiber (WPOMF) for cardiorespiratory and behavioral monitoring of humans. The optical fibers based on polymer materials are prepared into optical microfibers, fully using the advantages of the polymer material and optical microfibers. The prepared polymer optical microfiber is designed into a flexible wave-shaped structure, which enables the WPOMF sensor to have higher tensile properties and detection sensitivity. Cardiorespiratory and behavioral detection experiments based on the WPOMF sensor are successfully performed, which demonstrates the high sensitivity and stability potential of the WPOMF sensor when performing wearable tasks. Further, the success of the AI-assisted medical keyword pronunciation recognition experiment fully demonstrates the feasibility of integrating AI technology with the WPOMF sensor, which can effectively improve the intelligence of the sensor as a wearable device. As an optical microfiber intelligent sensor, the WPOMF sensor offers broad application prospects in disease monitoring, rehabilitation medicine, the Internet of Things, and other fields.
具有高灵活性、强大的实时监测能力和便利性的可穿戴设备,在医疗康复、健康监测、物联网和人机交互等领域显示出越来越强大的应用潜力。在本文中,我们提出了一种新颖的基于波浪形聚合物光纤的可穿戴式光学微纤维智能传感器,用于监测人类的心肺功能和行为。基于聚合物材料的光纤被制备成光学微纤维,充分利用了聚合物材料和光学微纤维的优势。制备的聚合物光学微纤维被设计成灵活的波浪形结构,使 WPOMF 传感器具有更高的拉伸性能和检测灵敏度。成功地进行了基于 WPOMF 传感器的心肺功能和行为检测实验,这证明了 WPOMF 传感器在执行可穿戴任务时具有很高的灵敏度和稳定性潜力。此外,AI 辅助医疗关键词发音识别实验的成功充分证明了将人工智能技术与 WPOMF 传感器集成的可行性,这可以有效地提高传感器作为可穿戴设备的智能性。作为一种光学微纤维智能传感器,WPOMF 传感器在疾病监测、康复医学、物联网等领域具有广阔的应用前景。