A meta-learning algorithm for respiratory flow prediction from FBG-based wearables in unrestrained conditions

Mariangela Filosa, Luca Massari, Davide Ferraro, Giacomo D'Alesio, Jessica D'Abbraccio, Andrea Aliperta, Daniela Lo Presti, Joshua Di Tocco, Martina Zaltieri, Carlo Massaroni, Maria Chiara Carrozza, Maurizio Ferrarin, Marco Di Rienzo, Emiliano Schena, Calogero Maria Oddo. A meta-learning algorithm for respiratory flow prediction from FBG-based wearables in unrestrained conditions. Artificial Intelligence in Medicine, 130:102328, 2022. [doi]

@article{FilosaMFDDAPTZM22,
  title = {A meta-learning algorithm for respiratory flow prediction from FBG-based wearables in unrestrained conditions},
  author = {Mariangela Filosa and Luca Massari and Davide Ferraro and Giacomo D'Alesio and Jessica D'Abbraccio and Andrea Aliperta and Daniela Lo Presti and Joshua Di Tocco and Martina Zaltieri and Carlo Massaroni and Maria Chiara Carrozza and Maurizio Ferrarin and Marco Di Rienzo and Emiliano Schena and Calogero Maria Oddo},
  year = {2022},
  doi = {10.1016/j.artmed.2022.102328},
  url = {https://doi.org/10.1016/j.artmed.2022.102328},
  researchr = {https://researchr.org/publication/FilosaMFDDAPTZM22},
  cites = {0},
  citedby = {0},
  journal = {Artificial Intelligence in Medicine},
  volume = {130},
  pages = {102328},
}