EIT Based Time Constant Analysis to Determine Different Types of Patients in COVID-19 Pneumonia
| Author: | Rongqing Chen, Andras Lovas, Sabine Krüger-ZiolekORCiDGND, Balazs Benyo, Knut MöllerGND |
|---|---|
| DOI: | https://doi.org/10.1007/978-3-030-64610-3_52 |
| ISBN: | 978-3-030-64610-3 |
| Parent Title (English): | 8th European Medical and Biological Engineering Conference Proceedings of the EMBEC 2020, November 29 – December 3, 2020 Portorož, Slovenia |
| Publisher: | Springer |
| Place of publication: | Cham |
| Document Type: | Conference Proceeding |
| Language: | English |
| Year of Completion: | 2020 |
| Release Date: | 2021/01/13 |
| Tag: | Acute respiratory distress syndrome; COVID-19 pneumonia; Electrical impedance tomography; Time constant |
| First Page: | 462 |
| Last Page: | 469 |
| Open-Access-Status: | Closed Access |
| Licence (German): |  Urheberrechtlich geschützt |