Covidien LP

Nancy F Dong

Gabriel Sanchez

Richard Nakai

Danis Carter

Kun Li

Systems and methods for model-driven system integration on a ventilator comprise a modeled exhalation flow. Ventilator flow sensors contain components that are easily damaged or impacted and have high rates of failure. Knowledge failure frequency and type may help determine when to replace, clean, or calibrate a flow sensor. A modeled exhalation flow may be trained for a ventilator. Additionally, the modeled exhalation flow may be compared to a flow sensor flow to determine a specific failure. Additionally or alternatively, the modeled exhalation flow may supplement, weight, or replace a faulty flow sensor measurement. These systems and methods may assist in identifying an inaccurate flow sensor measurement and/or providing a more accurate modeled flow estimate, thus increasing accuracy in patient-ventilator interactions.

Model-driven system integration in medical ventilators

Systems and methods for detecting extubation of an endotracheal tube (ETT) are described. Extubation of the ETT can be identified by comparing to a threshold, a difference between a determined first volume of breathing gas during a first inspiratory period to a determined second volume of breathing gas during a second inspiratory period. If the difference exceeds the threshold, an alarm can be activated indicating extubation. Extubation detection may also be based on a difference between inspiratory pressures during separate inspiratory periods. Partial extubation and full extubation may also be discerned. Further, extubation of an ETT may be detected without the use of an exhalation flow sensor.

Endotracheal tube extubation detection

This disclosure describes systems and methods for providing novel back-up ventilation that allows the patient to trigger or initiate the delivery of breath. Further, this disclosure describes systems and methods for triggering ventilation when base flow and/or inspiratory flow is unknown or indeterminable by the ventilator.

Methods and systems for triggering with unknown inspiratory flow

Systems and methods for ventilation that allows the patient to trigger or initiate the delivery of a breath are provided. Further, systems and methods for triggering ventilation when exhalation flow is unknown or unreliable by the ventilator are provided.

Systems and methods for ventilation with unknown exhalation flow

This disclosure describes systems and methods for providing novel back-up ventilation. Further, this disclosure describes systems and methods for delivering ventilation when exhalation pressure and/or exhalation flow are unknown or unreliable by the ventilator.

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Carlsbad, CA, United States of America

Nancy F Dong