PPS TKI Philips MEDICAID: MedTech Solutions for Earlier Detection of Cardiovascular Disease STO

Project: Onderzoek direct

Status	Geëindigd
Effectieve start/einddatum	30/09/19 → 30/09/23

A machine learning method for automatic detection and classification of patient-ventilator asynchrony
Bakkes, T. H. G. F., Montree, R. J. H., Mischi, M., Mojoli, F. & Turco, S., jul. 2020, 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society: Enabling Innovative Technologies for Global Healthcare, EMBC 2020. Institute of Electrical and Electronics Engineers, blz. 150-153 4 blz. 9175796
Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review
15 Citaten (Scopus)

MEDICAID/TKI/PPS/BMT
van de Vosse, F. N. (Project Manager), Fasen, F. (Projectmedewerker) & Nievergeld, A. H. M. (Projectmedewerker)
2/01/18 → 30/09/23
Project: Onderzoek direct
PPS TKI Philips MEDICAID: MedTech Solutions for Earlier Detection of Cardiovascular Disease
Bergmans, J. W. M. (Project Manager), Sammali, F. (Projectmedewerker), Bester, M. (Projectmedewerker), van de Laar, L. (Projectmedewerker), van Gilst, M. M. (Project communicatie medewerker), Mischi, M. (Projectmedewerker), Wulterkens, B. M. (Projectmedewerker), van der Hagen, D. (Project communicatie medewerker), Rabotti, C. (Projectmedewerker), Vullings, R. (Projectmedewerker), Schiphorst, L. (Projectmedewerker), Bakkes, T. H. G. F. (Projectmedewerker) & Turco, S. (Projectmedewerker)
2/01/18 → 30/09/23
Project: Onderzoek direct

Projectdetails