Estimation of respiratory volume from thoracoabdominal breathing distances: comparison of two models of machine learning
- DOI
- 10.1007/s00421-017-3630-0
- Published
- 2017-06-13
- Container
- European Journal of Applied Physiology
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s00421-017-3630-0,
title = {Estimation of respiratory volume from thoracoabdominal breathing distances: comparison of two models of machine learning},
author = {Rémy Dumond and Steven Gastinger and Hala Abdul Rahman and Alexis Le Faucheur and Patrice Quinton and Haitao Kang and Jacques Prioux},
year = {2017},
journal = {European Journal of Applied Physiology},
doi = {10.1007/s00421-017-3630-0},
url = {https://doi.org/10.1007/s00421-017-3630-0}
}RIS
TY - JOUR TI - Estimation of respiratory volume from thoracoabdominal breathing distances: comparison of two models of machine learning AU - Rémy Dumond AU - Steven Gastinger AU - Hala Abdul Rahman AU - Alexis Le Faucheur AU - Patrice Quinton AU - Haitao Kang AU - Jacques Prioux PY - 2017 JO - European Journal of Applied Physiology DO - 10.1007/s00421-017-3630-0 UR - https://doi.org/10.1007/s00421-017-3630-0 ER -
APA
Dumond, R., Gastinger, S., Rahman, H. A., Faucheur, A. L., Quinton, P., Kang, H., & Prioux, J. (2017). Estimation of respiratory volume from thoracoabdominal breathing distances: comparison of two models of machine learning. European Journal of Applied Physiology. https://doi.org/10.1007/s00421-017-3630-0
Source records
- crossref · retrieved 2026-09-26T23:31:23.078Z