Zou Yang, Gai Yansong, Tan Puchuan, Jiang Dongjie, Qu Xuecheng, Xue Jiangtao, Ouyang Han, Shi Bojing, Li Linlin, Luo Dan, Deng Yulin, Li Zhou, Wang Zhong Lin
School of Life Science, Institute of Engineering Medicine, Beijing Institute of Technology, Beijing 100081, China.
CAS Center for Excellence in Nanoscience, Beijing Key Laboratory of Micro-Nano Energy and Sensor, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 101400, China.
Fundam Res. 2022 Jan 25;2(4):619-628. doi: 10.1016/j.fmre.2022.01.003. eCollection 2022 Jul.
Respiratory sensing provides a simple, non-invasive, and efficient way for medical diagnosis and health monitoring, but it relies on sensors that are conformal, accurate, durable, and sustainable working. Here, a stretchable, multichannel respiratory sensor inspired by the structure of shark gill cleft is reported. The bionic shark gill structure can convert transverse elastic deformation into longitudinal elastic deformation during stretching. Combining the optimized bionic shark gill structure with the piezoelectric and the triboelectric effect, the bionic shark gill respiratory sensor (BSG-RS) can produce a graded electrical response to different tensile strains. Based on this feature, BSG-RS can simultaneously monitor the breathing rate and breathing depth of the human body accurately, and realize the effective recognition of the different human body's breathing state under the supporting software. With good stretchability, wearability, accuracy, and long-term stability (50,000 cycles), BSG-RS is expected to be applied as self-powered smart wearables for mobile medical diagnostic analysis in the future.
呼吸传感为医学诊断和健康监测提供了一种简单、无创且高效的方法，但它依赖于具有贴合性、准确性、耐用性和可持续工作能力的传感器。在此，报道了一种受鲨鱼鳃裂结构启发的可拉伸多通道呼吸传感器。这种仿生鲨鱼鳃结构在拉伸过程中可将横向弹性变形转化为纵向弹性变形。将优化后的仿生鲨鱼鳃结构与压电效应和摩擦电效应相结合，仿生鲨鱼鳃呼吸传感器（BSG-RS）能够对不同的拉伸应变产生分级电响应。基于这一特性，BSG-RS能够同时准确监测人体的呼吸频率和呼吸深度，并在配套软件的支持下实现对不同人体呼吸状态的有效识别。凭借良好的拉伸性、可穿戴性、准确性和长期稳定性（50,000次循环），BSG-RS有望在未来作为自供电智能可穿戴设备应用于移动医疗诊断分析。
