Abstract
Evaluation of lung function is central to the management of chronic obstructive respiratory diseases. It is typically evaluated with a spirometer by a specialized health professional, who ensures the correct execution of a forced expiratory manoeuvre (FEM). Audio recording of a FEM using a smart device embedded microphone can be used to self-monitor lung function between clinical visits. The challenge of microphone spirometry is to ensure the validity and reliability of the FEM, in the absence of a health professional. In particular, the absence of a mouthpiece may allow excessive mouth closure, leading to an incorrect manoeuvre. In this work, a strategy to automatically assess the correct execution of the FEM is proposed and validated. Using 498 FEM recordings, both specificity and sensitivity attained were above 90%. This method provides immediate feedback to the user, by grading the manoeuvre in a visual scale, promoting the repetition of the FEM when needed.
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Funding
This work is supported by NORTE-01-0247-FEDER-033275, AIRDOC, project NORTE-01-0247-FEDER-033275, financed by the North Portugal Regional Operational Programme (NORTE 2020), under the PORTUGAL 2020 Partnership Agreement, and through the European Regional Development Fund (ERDF). AIRDOC is with ITEA 3 16040 PHE - Personal Health Empowerment project consortium.
R Almeida is supported by ERDF (European Regional Development Fund) through the operation POCI-01-0145-FEDER-029130, mINSPIRERS—mHealth to measure and improve adherence to medication in chronic obstructive respiratory diseases - generalisation and evaluation of gamification, peer support and advanced image processing technologies, funded by the COMPETE2020 and by National Funds through FCT (Fundação para a Ciência e a Tecnologia). C. Jácome has a post-doctoral grant (SFRH/BPD/115169/2016) funded by FCT, reimbursed by Fundo Social Europeu and by national funds of MCTES (Ministério da Ciência, Tecnologia e Ensino Superior). C. Paixão and A. Marques are funded by FCT under UID/BIM/04501/2013 and UID/BIM/045, and by Programa Operacional de Competitividade e Internacionalização - COMPETE, through ERDF - FEDER (POCI-01-0145-FEDER-007628).
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Almeida, R. et al. (2020). Automatic Quality Assessment of a Forced Expiratory Manoeuvre Acquired with the Tablet Microphone. In: Henriques, J., Neves, N., de Carvalho, P. (eds) XV Mediterranean Conference on Medical and Biological Engineering and Computing – MEDICON 2019. MEDICON 2019. IFMBE Proceedings, vol 76. Springer, Cham. https://doi.org/10.1007/978-3-030-31635-8_170
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DOI: https://doi.org/10.1007/978-3-030-31635-8_170
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