• 文献标题:   Graphene oxide-based radiofrequency identification wearable sensor for breath monitoring
  • 文献类型:   Article
  • 作  者:   CACCAMI MC, MULLA MYS, DI NATALE C, MARROCCO G
  • 作者关键词:   wearable antenna, body sensor network, radiofrequency identification, pneumodynamic, graphene device, electric resistance measurement, patient monitoring, disease, patient diagnosi, graphene oxidebased radiofrequency identification wearable sensor, breath monitoring, breathing dynamic characteristics monitoring, noninvasive disease diagnosi, wearable radiofrequency identification device, flexible antenna, facemask, humidity variation, resulting sensor tag, reference condition, communication performance, electromagnetic simulation, human head model, inhalation cycle detection, exhalation cycle detection, respiration abnormal pattern detection, graphene oxide resistance
  • 出版物名称:   IET MICROWAVES ANTENNAS PROPAGATION
  • ISSN:   1751-8725 EI 1751-8733
  • 通讯作者地址:   Univ Roma Tor Vergata
  • 被引频次:   3
  • DOI:   10.1049/iet-map.2017.0628
  • 出版年:   2018

▎ 摘  要

The monitoring of the breathing dynamic characteristics, including the presence of biomarkers in exhaled breath, is of growing interest in non-invasive diagnosis of diseases. The authors describe a wearable radiofrequency identification device hosting a flexible antenna suitable for integration into a facemask and a sensor made of graphene oxide sensitive to the humidity variations. The resulting sensor tag was characterised in reference conditions while its communication performance was estimated by electromagnetic simulations as well as measurements over a simplified model of the human head. Finally, the whole system was tested on a volunteer and was experimentally demonstrated to be capable of detecting the inhalation/exhalation cycles and abnormal patterns of respiration like the apnea by measuring the changes in graphene oxide resistance.