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Xu Q, Fang Y, Jing Q, Hu N, Lin K, Pan Y, Xu L, Gao H, Yuan M, Chu L, Ma Y, Xie Y, Chen J, Wang L. A portable triboelectric spirometer for wireless pulmonary function monitoring. Biosens Bioelectron 2021; 187:113329. [PMID: 34020223 PMCID: PMC8118703 DOI: 10.1016/j.bios.2021.113329] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Revised: 04/26/2021] [Accepted: 05/07/2021] [Indexed: 12/31/2022]
Abstract
Coronavirus disease 2019 (COVID-19) as a severe acute respiratory syndrome infection has spread rapidly across the world since its emergence in 2019 and drastically altered our way of life. Patients who have recovered from COVID-19 may still face persisting respiratory damage from the virus, necessitating long-term supervision after discharge to closely assess pulmonary function during rehabilitation. Therefore, developing portable spirometers for pulmonary function tests is of great significance for convenient home-based monitoring during recovery. Here, we propose a wireless, portable pulmonary function monitor for rehabilitation care after COVID-19. It is composed of a breath-to-electrical (BTE) sensor, a signal processing circuit, and a Bluetooth communication unit. The BTE sensor, with a compact size and light weight of 2.5 cm3 and 1.8 g respectively, is capable of converting respiratory biomechanical motions into considerable electrical signals. The output signal stability is greater than 93% under 35%-81% humidity, which allows for ideal expiration airflow sensing. Through a wireless communication circuit system, the signals can be received by a mobile terminal and processed into important physiological parameters, such as forced expiratory volume in 1 s (FEV1) and forced vital capacity (FVC). The FEV1/FVC ratio is then calculated to further evaluate pulmonary function of testers. Through these measurement methods, the acquired pulmonary function parameters are shown to exhibit high accuracy (>97%) in comparison to a commercial spirometer. The practical design of the self-powered flow spirometer presents a low-cost and convenient method for pulmonary function monitoring during rehabilitation from COVID-19.
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Affiliation(s)
- Qinghao Xu
- State Key Laboratory of Organic Electronics and Information Displays & Institute of Advanced Materials, Jiangsu Key Laboratory for Biosensors, Jiangsu National Synergetic Innovation Center for Advanced Materials, Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu, 210023, China
| | - Yunsheng Fang
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Qingshen Jing
- Department of Materials Science and Metallurgy, University of Cambridge, Cambridge, CB2 1TN, UK
| | - Ning Hu
- State Key Laboratory of Organic Electronics and Information Displays & Institute of Advanced Materials, Jiangsu Key Laboratory for Biosensors, Jiangsu National Synergetic Innovation Center for Advanced Materials, Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu, 210023, China
| | - Ke Lin
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Yifan Pan
- Viterbi School of Engineering, University of Southern California, Los Angeles, CA, 90007, USA
| | - Lin Xu
- Jiangsu Key Laboratory of New Power Batteries, Collaborative Innovation Center of Biomedical Functional Materials, School of Chemistry and Materials Science, Nanjing Normal University, Nanjing, Jiangsu, 210023, China
| | - Haiqi Gao
- State Key Laboratory of Organic Electronics and Information Displays & Institute of Advanced Materials, Jiangsu Key Laboratory for Biosensors, Jiangsu National Synergetic Innovation Center for Advanced Materials, Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu, 210023, China
| | - Ming Yuan
- State Key Laboratory of Organic Electronics and Information Displays & Institute of Advanced Materials, Jiangsu Key Laboratory for Biosensors, Jiangsu National Synergetic Innovation Center for Advanced Materials, Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu, 210023, China
| | - Liang Chu
- State Key Laboratory of Organic Electronics and Information Displays & Institute of Advanced Materials, Jiangsu Key Laboratory for Biosensors, Jiangsu National Synergetic Innovation Center for Advanced Materials, Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu, 210023, China
| | - Yanwen Ma
- State Key Laboratory of Organic Electronics and Information Displays & Institute of Advanced Materials, Jiangsu Key Laboratory for Biosensors, Jiangsu National Synergetic Innovation Center for Advanced Materials, Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu, 210023, China
| | - Yannan Xie
- State Key Laboratory of Organic Electronics and Information Displays & Institute of Advanced Materials, Jiangsu Key Laboratory for Biosensors, Jiangsu National Synergetic Innovation Center for Advanced Materials, Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu, 210023, China.
| | - Jun Chen
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA.
| | - Lianhui Wang
- State Key Laboratory of Organic Electronics and Information Displays & Institute of Advanced Materials, Jiangsu Key Laboratory for Biosensors, Jiangsu National Synergetic Innovation Center for Advanced Materials, Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu, 210023, China.
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