1999
DOI: 10.1006/cbmr.1999.1515
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Theoretical Study of Inspiratory Flow Waveforms during Mechanical Ventilation on Pulmonary Blood Flow and Gas Exchange

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Cited by 7 publications
(5 citation statements)
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“…The same result of (33) could also be obtained by inserting (31) into (19). Considering (30), (31) and (32) at the beginning of inspiration time (t i = 0), the following expressions result:…”
Section: Inspiration Timementioning
confidence: 55%
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“…The same result of (33) could also be obtained by inserting (31) into (19). Considering (30), (31) and (32) at the beginning of inspiration time (t i = 0), the following expressions result:…”
Section: Inspiration Timementioning
confidence: 55%
“…Among the different systems proposed for removing this limitation [8,9,[17][18][19][20][21][22][23][24][25][26][27][28] and thus for evaluating the effect of varying inspiratory airflow waveforms on clinical parameters of mechanically ventilated patients [29][30][31], the Advanced Lung Ventilation System (ALVS) has been conceived and designed for the waveform optimization of airways pressure excitation when controlled breathings have to be apply during assisted/ controlled ventilation to anaesthetized or severe brain injured patients, the respiratory mechanics of which can be assumed steady and linear [9,[32][33][34][35][36]. The functional flexibility and versatility of ALVS are both extremely useful for the research activity with an optimal and advanced ventilator as well as for its laboratory and clinical development and testing [9].…”
Section: Introductionmentioning
confidence: 99%
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“…The respiratory system during mechanical ventilation is modeled as a lumped system composed of a compliant lung (with compliance C lung ), an airway (with resistance R aw representing the tube and the bronchial tree) and an additional compliant vessel representing the chest wall (simplified from 20 ). Nonlinear flow-dependent resistance to airflow in the upper airways was ignored.…”
Section: Respiratory Systemmentioning
confidence: 99%
“…When adaptable to the individual patient, the model could form the basis of a decision support system by predicting the effect of any considered volume infusion in specific patients. [10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26] A first, and to our knowledge only step towards the identification of factors that influence the arterial pressure variations by cardiovascular modeling was made by Messerges. 14 He endorsed the assumption that mathematical modeling potentially lead to more clinically relevant interpretation of dynamic indices, and introduced positive pressure ventilation, venous compression and a rightward septum shift into an existing cardiovascular model.…”
Section: Introductionmentioning
confidence: 99%