Quality assessment and feedback of Smart Device Microphone Spirometry executed by children

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2019

Autores

Almeida, R (Autor) FMUP; Pinho, B (Autor) Outra; Jacome, C (Autor) FMUP; Teixeira, JF (Autor) Outra; Amaral, R (Autor) Outra; Lopes, F (Autor) Outra; Jacinto T (Autor) FMUP; Guedes, R (Autor) Outra; Pereira, M (Autor) Outra; Goncalves, I (Autor) Outra; Fonseca, J (Autor) FMUP

Ata de Conferência Internacional

Título: 6th IEEE Portuguese Meeting on Bioengineering, ENBENG 2019 - Proceedings

6th IEEE Portuguese Meeting on Bioengineering, ENBENG 2019

22 February 2019 through 23 February 2019

Indexação

ISI Web of Knowledge - 1 Citação

Scopus - 3 Citações

Outras Informações

ID Authenticus: P-00Q-J2B

DOI: 10.1109/enbeng.2019.8692452

Abstract (EN): Smart device microphone spirometry, based on the audio recording of forced expiratory maneuver (FEM), can be a simple, ubiquitous and easy tool for patients to self-monitor their asthma. Automatic validity assessment is crucial to guarantee that the global effort of the FEM fulfil the admissible minimum or if the maneuver needs to be repeated. In this work an automatic method to classify the sounds from FEM with respect to global effort was developed and evaluated using data from 54 children (5-10 years). The method proposed was able to correctly classify the microphone spirometry with respect to admissible minimum of effort with an accuracy of 86% (specificity 87% and sensitivity 86%). This method can be used to provide immediate feedback of the correct execution of the maneuver, improving the clinical value and utility of this self-monitoring tool.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 4