Project Acronym: myAirCoachTitle: Analysis, modelling and sensing of both physiological and environmental factors for the customized and predictive self-management of AsthmaAffiliation: centre of research and technology hellasPi: Dimitrios TzovarasResearch Field: physiology and medicine
Substance deposition assessment in obstructed pulmonary system through numerical characterization of airflow and inhaled particles attributes
by Lalas, Antonios and Nousias, Stavros and Kikidis, Dimitrios and Lalos, Aris and Arvanitis, Gerasimos and Sougles, Christos and Moustakas, Konstantinos and Votis, Konstantinos and Verbanck, Sylvia and Usmani, Omar and Tzovaras, Dimitrios
Reference:
Substance deposition assessment in obstructed pulmonary system through numerical characterization of airflow and inhaled particles attributes (Lalas, Antonios and Nousias, Stavros and Kikidis, Dimitrios and Lalos, Aris and Arvanitis, Gerasimos and Sougles, Christos and Moustakas, Konstantinos and Votis, Konstantinos and Verbanck, Sylvia and Usmani, Omar and Tzovaras, Dimitrios), In BMC Medical Informatics and Decision Making, volume 17, 2017.
Bibtex Entry:
@article{Lalas2017, author = {Lalas, Antonios and Nousias, Stavros and Kikidis, Dimitrios and Lalos, Aris and Arvanitis, Gerasimos and Sougles, Christos and Moustakas, Konstantinos and Votis, Konstantinos and Verbanck, Sylvia and Usmani, Omar and Tzovaras, Dimitrios}, title = {Substance deposition assessment in obstructed pulmonary system through numerical characterization of airflow and inhaled particles attributes}, journal = {BMC Medical Informatics and Decision Making}, year = {2017}, bibyear = {2017}, month = {Dec}, day = {20}, volume = {17}, number = {3}, pages = {173}, issn = {1472-6947}, doi = {10.1186/s12911-017-0561-y}, url = {https://doi.org/10.1186/s12911-017-0561-y}, }