Algorithm for automatic forced spirometry quality assessment: technological developments.
We hypothesized that the implementation of automatic real-time assessment of quality of forced spirometry (FS) may significantly enhance the potential for extensive deployment of a FS program in the community. Recent studies have demonstrated that the application of quality criteria defined by the A...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2014-01-01
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| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC4281176?pdf=render |
| _version_ | 1798043744355745792 |
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| author | Umberto Melia Felip Burgos Montserrat Vallverdú Filip Velickovski Magí Lluch-Ariet Josep Roca Pere Caminal |
| author_facet | Umberto Melia Felip Burgos Montserrat Vallverdú Filip Velickovski Magí Lluch-Ariet Josep Roca Pere Caminal |
| author_sort | Umberto Melia |
| collection | DOAJ |
| description | We hypothesized that the implementation of automatic real-time assessment of quality of forced spirometry (FS) may significantly enhance the potential for extensive deployment of a FS program in the community. Recent studies have demonstrated that the application of quality criteria defined by the ATS/ERS (American Thoracic Society/European Respiratory Society) in commercially available equipment with automatic quality assessment can be markedly improved. To this end, an algorithm for assessing quality of FS automatically was reported. The current research describes the mathematical developments of the algorithm. An innovative analysis of the shape of the spirometric curve, adding 23 new metrics to the traditional 4 recommended by ATS/ERS, was done. The algorithm was created through a two-step iterative process including: (1) an initial version using the standard FS curves recommended by the ATS; and, (2) a refined version using curves from patients. In each of these steps the results were assessed against one expert's opinion. Finally, an independent set of FS curves from 291 patients was used for validation purposes. The novel mathematical approach to characterize the FS curves led to appropriate FS classification with high specificity (95%) and sensitivity (96%). The results constitute the basis for a successful transfer of FS testing to non-specialized professionals in the community. |
| first_indexed | 2024-04-11T22:53:25Z |
| format | Article |
| id | doaj.art-2ea34f0454b84e8aaff141c3c37750cc |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-04-11T22:53:25Z |
| publishDate | 2014-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-2ea34f0454b84e8aaff141c3c37750cc2022-12-22T03:58:30ZengPublic Library of Science (PLoS)PLoS ONE1932-62032014-01-01912e11623810.1371/journal.pone.0116238Algorithm for automatic forced spirometry quality assessment: technological developments.Umberto MeliaFelip BurgosMontserrat VallverdúFilip VelickovskiMagí Lluch-ArietJosep RocaPere CaminalWe hypothesized that the implementation of automatic real-time assessment of quality of forced spirometry (FS) may significantly enhance the potential for extensive deployment of a FS program in the community. Recent studies have demonstrated that the application of quality criteria defined by the ATS/ERS (American Thoracic Society/European Respiratory Society) in commercially available equipment with automatic quality assessment can be markedly improved. To this end, an algorithm for assessing quality of FS automatically was reported. The current research describes the mathematical developments of the algorithm. An innovative analysis of the shape of the spirometric curve, adding 23 new metrics to the traditional 4 recommended by ATS/ERS, was done. The algorithm was created through a two-step iterative process including: (1) an initial version using the standard FS curves recommended by the ATS; and, (2) a refined version using curves from patients. In each of these steps the results were assessed against one expert's opinion. Finally, an independent set of FS curves from 291 patients was used for validation purposes. The novel mathematical approach to characterize the FS curves led to appropriate FS classification with high specificity (95%) and sensitivity (96%). The results constitute the basis for a successful transfer of FS testing to non-specialized professionals in the community.http://europepmc.org/articles/PMC4281176?pdf=render |
| spellingShingle | Umberto Melia Felip Burgos Montserrat Vallverdú Filip Velickovski Magí Lluch-Ariet Josep Roca Pere Caminal Algorithm for automatic forced spirometry quality assessment: technological developments. PLoS ONE |
| title | Algorithm for automatic forced spirometry quality assessment: technological developments. |
| title_full | Algorithm for automatic forced spirometry quality assessment: technological developments. |
| title_fullStr | Algorithm for automatic forced spirometry quality assessment: technological developments. |
| title_full_unstemmed | Algorithm for automatic forced spirometry quality assessment: technological developments. |
| title_short | Algorithm for automatic forced spirometry quality assessment: technological developments. |
| title_sort | algorithm for automatic forced spirometry quality assessment technological developments |
| url | http://europepmc.org/articles/PMC4281176?pdf=render |
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