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1 Ergebnisse
1
Machine Learning Approaches For Improved Continuous, Non-oc..:
, In:
2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
,
Jorge, Joao
;
Proenca, Martin
;
Aguet, Clementine
... - p. 910-913 , 2020
Link:
https://doi.org/10.1109/EMBC44109.2020.9176512
RT T1
2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
: T1
Machine Learning Approaches For Improved Continuous, Non-occlusive Arterial Pressure Monitoring Using Photoplethysmography
UL https://suche.suub.uni-bremen.de/peid=ieee-9176512&Exemplar=1&LAN=DE A1 Jorge, Joao A1 Proenca, Martin A1 Aguet, Clementine A1 Van Zaen, Jerome A1 Bonnier, Guillaume A1 Renevey, Phillipe A1 Lemkaddem, Alia A1 Schoettker, Patrick A1 Lemay, Mathieu YR 2020 SN 1558-4615 K1 Feature extraction K1 Maximum likelihood estimation K1 Ground penetrating radar K1 Training K1 Biomedical monitoring K1 Calibration SP 910 OP 913 LK http://dx.doi.org/https://doi.org/10.1109/EMBC44109.2020.9176512 DO https://doi.org/10.1109/EMBC44109.2020.9176512 SF ELIB - SuUB Bremen
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