Predicting Pulmonary Function From the Analysis of Voice: A Machine Learning Approach

• Egile Nagusiak: Md. Zahangir Alam (Egilea), Albino Simonetti (Egilea), Raffaele Brillantino (Egilea), Nick Tayler (Egilea), Chris Grainge (Egilea), Pandula Siribaddana (Egilea), S. A. Reza Nouraei (Egilea), James Batchelor (Egilea), M. Sohel Rahman (Egilea), Eliane V. Mancuzo (Egilea), John W. Holloway (Egilea), Judith A. Holloway (Egilea), Faisal I. Rezwan (Egilea)
• Formatua: Liburua
• Argitaratua: Frontiers Media S.A., 2022-02-01T00:00:00Z.
• Gaiak: article
• Sarrera elektronikoa: Connect to this object online.

IntroductionTo self-monitor asthma symptoms, existing methods (e.g. peak flow metre, smart spirometer) require special equipment and are not always used by the patients. Voice recording has the potential to generate surrogate measures of lung function and this study aims to apply machine learning ap...