School of Physics, Sun Yat-Sen University, Guangzhou, 510275, People's Republic of China.
State Key Laboratory of Optoelectronic Materials and Technologies, School of Electronics and Information Technology, Sun Yat-Sen University, Guangzhou, 510275, People's Republic of China.
Sci Rep. 2022 Oct 19;12(1):17434. doi: 10.1038/s41598-022-21572-y.
Breathing condition is an essential physiological indicator closely related to human health. Wearable flexible breath sensors for respiration pattern recognition have attracted much attention as they can provide physiological signal details for personal medical diagnosis, health monitoring, etc. However, present smart mask based on flexible breath sensors using single-mode detection can only detect a relatively small number of respiration patterns, especially lacking the ability to accurately distinguish mouth breath from nasal one. Herein, a smart face mask incorporated with a dual-sensing mode breathing sensor that can recognize up to eight human respiration patterns is fabricated. The breathing sensor uses novel three dimensional (3D) buckling carbon nanofiber mats as active materials to realize the function of pressure and temperature sensing simultaneously. The pressure model of the sensors shows a high sensitivity that are able to precisely detect pressure generated by respiratory airflow, while the temperature model can realize non-contact temperature variation caused by breath. Benefit from the capacity of real-time recognition and accurate distinguishing between mouth breath and nasal breath, the face mask is further developed to monitor the development of mouth breathing syndrome. The dual-sensing mode sensor has great potential applications in health monitoring.
呼吸状况是与人类健康密切相关的基本生理指标。可穿戴式柔性呼吸传感器可用于呼吸模式识别,因其可为个人医疗诊断、健康监测等提供生理信号细节而备受关注。然而,目前基于柔性呼吸传感器的智能口罩采用单模式检测,只能检测到相对较少的呼吸模式,特别是缺乏准确区分口呼吸和鼻呼吸的能力。本文制备了一种集成双传感模式呼吸传感器的智能口罩,该传感器可识别多达八种人体呼吸模式。呼吸传感器采用新型三维(3D)褶皱碳纳米纤维垫作为活性材料,实现压力和温度传感功能。传感器的压力模型具有很高的灵敏度,能够精确检测呼吸气流产生的压力,而温度模型则可以实现由呼吸引起的非接触式温度变化。得益于实时识别和准确区分口呼吸和鼻呼吸的能力,该口罩进一步开发用于监测口呼吸综合征的发展。双传感模式传感器在健康监测方面具有很大的应用潜力。