School of Engineering, Macquarie University, Sydney, NSW 2109, Australia.
Department of Electrical Engineering, Shahid Beheshti University, Tehran 19834, Iran.
J R Soc Interface. 2021 Dec;18(185):20210753. doi: 10.1098/rsif.2021.0753. Epub 2021 Dec 8.
Monitoring human respiratory patterns is of great importance as it gives essential information for various medical conditions, e.g. sleep apnoea syndrome and chronic obstructive pulmonary disease and asthma, etc. Herein, we have developed a polymeric airflow sensor based on nanocomposites of vertically grown graphene nanosheets (VGNs) with polydimethylsiloxane (PDMS) and explored their applications in monitoring human respiration. The sensing performance of the VGNs/PDMS nanocomposite was characterized by exposing to a range of airflow rates (20-130 l min), and a linear performance with high sensitivity and low response time (mostly below 1 s) was observed. To evaluate the experimental results, finite-element simulation models were developed in the COMSOL Multiphysics package. The piezoresistive properties of VGNs/PDMS thin film and fluid-solid interaction were thoroughly studied. Laser Doppler vibrometry measures of sensor tip displacement closely approximated simulated deflection results and validated the dynamic response of the sensor. By comparing the proposed sensor and some other airflow sensors in the literature, it is concluded that the VGNs/PDMS airflow sensor has excellent features in terms of sensor height, detection range and sensitivity. The potential application of the VGNs/PDMS airflow sensor in detecting the respiration pattern of human exercises like walking, jogging and running has been demonstrated.
监测人体呼吸模式非常重要,因为它为各种医疗状况提供了重要信息,例如睡眠呼吸暂停综合征、慢性阻塞性肺疾病和哮喘等。在此,我们开发了一种基于垂直生长石墨烯纳米片(VGNs)与聚二甲基硅氧烷(PDMS)的纳米复合材料的聚合物气流传感器,并探索了其在监测人体呼吸方面的应用。通过将 VGNs/PDMS 纳米复合材料暴露于一系列气流速率(20-130 l min)来表征其传感性能,观察到具有高灵敏度和低响应时间(大多低于 1 s)的线性性能。为了评估实验结果,在 COMSOL Multiphysics 软件包中开发了有限元模拟模型。彻底研究了 VGNs/PDMS 薄膜的压阻特性和流固相互作用。传感器尖端位移的激光多普勒测振仪测量值与模拟的挠度结果非常接近,验证了传感器的动态响应。通过将所提出的传感器与文献中的一些其他气流传感器进行比较,可以得出结论,VGNs/PDMS 气流传感器在传感器高度、检测范围和灵敏度方面具有优异的性能。已经证明了 VGNs/PDMS 气流传感器在检测人体运动(如步行、慢跑和跑步)呼吸模式方面的潜在应用。