A Quantitative Method to Guide the Integration of Textile Inductive Electrodes in Automotive Applications for Respiratory Monitoring
James Elber Duverger, Victor Bellemin, Patricia Forcier, Justine Decaens, Ghyslain Gagnon, Alireza Saidi, Antonio Fratini · 2024
Read A Quantitative Method to Guide the Integration of Textile Inductive Electrodes in Automotive Applications for Respiratory Monitoring by James Elber Duverger, Victor Bellemin, Patricia Forcier, Justine Decaens, Ghyslain Gagnon, Alireza Saidi, Antonio Fratini (2024) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11644524.txt.
Description
James Duverger leads a team on textile sensors for breathing in cars. Their study from twenty twenty-four deals with respiratory monitoring. Seat based sensors can track driver alertness quietly.
A numeric method rates signal quality to guide placement. A simple setup tested belts and seat backs. The waist gave the best breathing signals overall. Chest came next, then upper back, then lower back. Folding the sensors improved back signal quality. Three design rules came from the analysis. Many sensors and smart placement raise success odds. Seat belt spots were part of the case.
Catalog record
| CREATOR | James Elber Duverger, Victor Bellemin, Patricia Forcier, Justine Decaens, Ghyslain Gagnon, Alireza Saidi, Antonio Fratini |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 54 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |