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

INTRODUCTION: To 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...

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Detalles Bibliográficos
Autores principales: Alam, Md. Zahangir, Simonetti, Albino, Brillantino, Raffaele, Tayler, Nick, Grainge, Chris, Siribaddana, Pandula, Nouraei, S. A. Reza, Batchelor, James, Rahman, M. Sohel, Mancuzo, Eliane V., Holloway, John W., Holloway, Judith A., Rezwan, Faisal I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Digital Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8861188/
https://www.ncbi.nlm.nih.gov/pubmed/35211691
http://dx.doi.org/10.3389/fdgth.2022.750226

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8861188/
https://www.ncbi.nlm.nih.gov/pubmed/35211691
http://dx.doi.org/10.3389/fdgth.2022.750226

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