Bibliographic Details
| Summary: | 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. |
| Main Authors: | Almeida, Rute |
| Other Authors: | Bernardo, Pinho; Jácome, Cristina; Teixeira, João Fonseca; personAmaral, Rita; Gonçalves, Ivânia; Lopes, Filipa; Pinheiro, Ana Catarina; personJacinto, Tiago; Paixão, Cátia; Pereira, Mariana; Marques, Alda; Fonseca, João Almeida |
| Subject: | Lung function monitoring Smart device Signal quality |
| Year: | 2020 |
| Country: | Portugal |
| Document type: | conference output |
| Access type: | restricted access |
| Associated institution: | Instituto Politécnico do Porto |
| Language: | English |
| Origin: | Repositório Científico do Instituto Politécnico do Porto |