Author(s): Almeida, Rute ; Pinho, Bernardo ; Jácome, Cristina ; Teixeira, João Fonseca ; Amaral, Rita ; Gonçalves, Ivânia ; Lopes, Filipa ; Pinheiro, Ana Catarina ; Jacinto, Tiago ; Paixão, Cátia ; Pereira, Mariana ; Marques, Alda ; Almeida Fonseca, João
Date: 2020
Persistent ID: http://hdl.handle.net/10773/30628
Origin: RIA - Repositório Institucional da Universidade de Aveiro
Subject(s): Lung function monitoring; Signal quality; Smart device
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.
