RESISTANCE IN A NON-LINEAR AUTOREGRESSIVE MODEL OF PULMONARY MECHANICS

Resistance in a non-linear autoregressive model of pulmonary mechanics

Resistance in a non-linear autoregressive model of pulmonary mechanics

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Respiratory system Edible Glitter modelling can enable patient-specific mechanical ventilator settings to be found, and can thus reduce the incidence of ventilator induced lung injury in the intensive care unit.The resistance of a simple first order model (FOM) of pulmonary mechanics was compared with a flow dependent term of a non-linear autoregressive (NARX) model.Model parameters were identified for consecutive non-overlapping windows of length 20 breaths.

The analysis was performed over recruitment manoeuvres for 25 sedated mechanically ventilated patients.The NARX model term, b1, consistently decreased as positive ENERGIN end expiratory pressure (PEEP) increased, while the FOM resistance behaviour varied.Overall the NARX b1 behaviour is more in-line with expected trends in airway resistance as PEEP increases.

This work has further verified the physiologically descriptive capability of the NARX model.

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