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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