Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/114992
Title: Development of an algorithm to automatic forced spirometry quality assessment
Author: Melia, Umberto
Burgos, Felip
Vallverdú, Montserrat
Velickovski, Filip
Lluch Ariet, Magí
Roca Torrent, Josep
Caminal, Pere
Keywords: Espirometria
Salut pública
Algorismes
Spirometry
Public health
Algorithms
Issue Date: 31-Dec-2014
Publisher: Public Library of Science (PLoS)
Abstract: 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.
Note: Reproducció del document publicat a: https://doi.org/10.1371/journal.pone.0116238
It is part of: PLoS One, 2014, vol. 9, num. 12, p. e116238
URI: http://hdl.handle.net/2445/114992
Related resource: https://doi.org/10.1371/journal.pone.0116238
ISSN: 1932-6203
Appears in Collections:Articles publicats en revistes (IDIBAPS: Institut d'investigacions Biomèdiques August Pi i Sunyer)
Articles publicats en revistes (Medicina)

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