Abstract
Coronavirus disease 2019 (COVID-19) patients may experience persistent impairment of the lungs after recovery and discharge, which can cause a decline in pulmonary function. Therefore, regular pulmonary function tests are essential for COVID-19 recovered patients, and portable, home-based pulmonary function test devices are of great significance during the pandemic. Herein, a portable self-powered turbine spirometer (PSTS) is designed for respiratory flow measurement and assessment of pulmonary function with high accuracy, humidity resistance, good durability, and low cost. The respiratory airflow can directly drive PSTS to produce a sinusoidal signal with a signal-to-noise of 40.64 dB. By utilizing the long short-term memory (LSTM) model, the flow is successfully predicted, and the “lag-before-start” and “spin-after-stop” defects of the turbine spirometer are eliminated effectively. For pulmonary function tests, the flow-volume loop curve can be obtained from PSTS, and pulmonary function parameters such as inspiratory capacity (IC), forced vital capacity (FVC) and forced expiratory volume in the first 1 s (FEV1) can be calculated. The accuracy of IC is over 95%, and others can reach over 97%. A portable smart pulmonary function assessment system is further developed and used to test the pulmonary function of COVID-19 patients one month after symptom onset, demonstrating potential for assessing rehabilitation trends and long-term follow-up of COVID-19 recovered patients.
| Original language | English |
|---|---|
| Article number | 2300328 |
| Journal | Advanced Materials Technologies |
| Volume | 8 |
| Issue number | 15 |
| DOIs | |
| State | Published - 11 Aug 2023 |
Keywords
- COVID-19
- deep learning
- pulmonary function tests
- triboelectric nanogenerators
- turbine spirometer
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