Transfer learning in spirometry: CNN models for automated flow-volume curve quality control in paediatric populations.

Journal: Computers in biology and medicine
PMID: 39541898

Abstract

PROBLEM: Current spirometers face challenges in evaluating acceptability criteria, often requiring manual visual inspection by trained specialists. Automating this process could improve diagnostic workflows and reduce variability in test assessments.

Authors

  • Carla Martins
    EPIUnit - Instituto de Saúde Pública da Universidade do Porto, Laboratório para a Investigação Integrativa e Translacional em Saúde Populacional (ITR), Porto, Portugal; Serviço de Imunoalergologia, Unidade Local de Saúde de São João, Porto, Portugal. Electronic address: cdanielaam@gmail.com.
  • Henrique Barros
    EPIUnit - Instituto de Saúde Pública, Universidade do Porto, Rua das Taipas, nº 135, 4050-600, Porto, Portugal.
  • André Moreira
    Faculty of Psychology and Educational Sciences, University of Coimbra, Coimbra, Portugal.

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