Fully Integrated Patch Based on Lamellar Porous Film Assisted GaN Optopairs for Wireless Intelligent Respiratory Monitoring

Liu, Zecong; Su, Junjie; Zhou, Kemeng; Yu, Binlu; Lin, Yuanjing; Li, Kwai Hei

2023-09-01

10.1021/acs.nanolett.3c02071

NANO LETTERS   Impact Factor & Quartile

1530-6984

1530-6992

Respiratory pattern is one of the most crucial indicators for accessing human health, but there has been limited success in implementing fast-responsive, affordable, and miniaturized platforms with the capability for smart recognition. Herein, a fully integrated and flexible patch for wireless intelligent respiratory monitoring based on a lamellar porous film functionalized GaN optoelectronic chip with a desirable response to relative humidity (RH) variation is reported. The submillimeter-sized GaN device exhibits a high sensitivity of 13.2 nA/%RH at 2-70%RH and 61.5 nA/%RH at 70-90%RH, and a fast response/recovery time of 12.5 s/6 s. With the integration of a wireless data transmission module and the assistance of machine learning based on 1-D convolutional neural networks, seven breathing patterns are identified with an overall classification accuracy of >96%. This integrated and flexible on-mask sensing platform successfully demonstrates real-time and intelligent respiratory monitoring capability, showing great promise for practical healthcare applications.

Respiration sensors lamellar porous films GaN optoelectronic 1-D CNNs

SCI

English

NI Journal Papers

First ; Corresponding

National Natural Science Foundation of China["62201243","62004088","12074170"] ; Shenzhen Natural Science Foundation Stability Support Program Project[20220815153728002] ; Shenzhen Fundamental Research Program[JCYJ20220530113201003] ; Southern University of Science and Technology Grant[Y01796108]

Chemistry ; Science & Technology - Other Topics ; Materials Science ; Physics

Chemistry, Multidisciplinary ; Chemistry, Physical ; Nanoscience & Nanotechnology ; Materials Science, Multidisciplinary ; Physics, Applied ; Physics, Condensed Matter

WOS:001068499300001

AMER CHEMICAL SOC

MATERIALS SCIENCE

Web of Science

Southern Univ Sci & Technol, Sch Microelect, Shenzhen 518055, Peoples R China

Liu, Zecong,Su, Junjie,Zhou, Kemeng,et al. Fully Integrated Patch Based on Lamellar Porous Film Assisted GaN Optopairs for Wireless Intelligent Respiratory Monitoring[J]. NANO LETTERS,2023.

Liu, Zecong,Su, Junjie,Zhou, Kemeng,Yu, Binlu,Lin, Yuanjing,&Li, Kwai Hei.(2023).Fully Integrated Patch Based on Lamellar Porous Film Assisted GaN Optopairs for Wireless Intelligent Respiratory Monitoring.NANO LETTERS.

Liu, Zecong,et al."Fully Integrated Patch Based on Lamellar Porous Film Assisted GaN Optopairs for Wireless Intelligent Respiratory Monitoring".NANO LETTERS (2023).