Please use this identifier to cite or link to this item:
https://hdl.handle.net/2445/220212
Title: | Open-source, low-cost, app-driven internet of things approach to facilitate respiratory oscillometry at home and in developing countries |
Author: | González, J.E. Rodríguez, M.A. Caballero, Eva Pardo Martínez, Antonio Marco Colás, Santiago Farré Ventura, Ramon |
Keywords: | Respiració artificial Enginyeria biomèdica Programari d'aplicació Artificial respiration Biomedical engineering Application software |
Issue Date: | 14-Nov-2023 |
Publisher: | Elsevier |
Abstract: | This work provides a proof-of concept of the feasibility of a novel telemetric approach in oscillometry. As the aim was not to produce a final, commercially available setting (e.g.no effort was paid to optimize graphic user interfaces), we focused on simplicity and on providing the detailed technical information required for any potential user to freely replicate ora dapt it. |
Note: | Reproducció del document publicat a: https://doi.org/10.1016/j.pulmoe.2023.10.004 |
It is part of: | Pulmonology, 2023, num.23, p. 00193-00199 |
URI: | https://hdl.handle.net/2445/220212 |
Related resource: | https://doi.org/10.1016/j.pulmoe.2023.10.004 |
ISSN: | 2531-0437 |
Appears in Collections: | Articles publicats en revistes (Biomedicina) |
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