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1 Ergebnisse
1
Systems Engineering Approach to Modeling and Analysis of Ch..:
Varghese Kurian
;
Michelle Gee
;
Sean Farrington
...
doi:10.1021/acsomega.3c05953.s001. , 2023
Link:
https://doi.org/10.1021/acsomega.3c05953.s001
RT Journal T1
Systems Engineering Approach to Modeling and Analysis of Chronic Obstructive Pulmonary Disease Part II: Extension for Variable Metabolic Rates
UL https://suche.suub.uni-bremen.de/peid=base-ftdeakinunifig:oai:figshare.com:article_24851496&Exemplar=1&LAN=DE A1 Varghese Kurian A1 Michelle Gee A1 Sean Farrington A1 Entao Yang A1 Alphonse Okossi A1 Lucy Chen A1 Antony N. Beris YR 2023 K1 Biochemistry K1 Medicine K1 Physiology K1 Ecology K1 Cancer K1 Biological Sciences not elsewhere classified K1 required several changes K1 remote patient monitoring K1 previously proposed adaptation K1 kurian et al K1 inflammatory lung disease K1 arterial oxygen tension K1 varying metabolic rates K1 systems engineering approach K1 high metabolic rates K1 >< K1 > K1 introduce physiological processes K1 acs omega </ K1 human cardiorespiratory system K1 systems engineering model K1 ></ sub K1 physiological processes K1 cardiorespiratory system K1 metabolic equivalent K1 control engineering K1 cardiorespiratory mechanics K1 cardiorespiratory control K1 task < K1 rest ) K1 related data K1 r </ K1 physical activity K1 parameter tuning K1 original model K1 multiple manifestations K1 modeled earlier K1 leading causes K1 healthy individuals K1 formally justify K1 feedforward loop K1 explicitly trained K1 existing models K1 exercise (< K1 dynamic hyperinflation K1 different levels K1 became important K1 also supports K1 activity level K1 8 </ JF doi:10.1021/acsomega.3c05953.s001 LK http://dx.doi.org/https://doi.org/10.1021/acsomega.3c05953.s001 DO https://doi.org/10.1021/acsomega.3c05953.s001 SF ELIB - SuUB Bremen
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