Abstract: This disclosure describes systems and methods for providing adaptive base flow scheduling during ventilation of a patient to optimize patient-machine synchrony and accuracy of estimated exhaled as well as inhaled tidal volumes. Further, this disclosure describes systems and methods for providing adaptive inspiratory trigger threshold scheduling during the adaptive base flow scheduling. Further still, this disclosure describes systems and methods for determining an estimated leak flow and adjusting the adaptive base flow scheduling and the adaptive inspiratory trigger threshold scheduling based on the estimated leak flow. Moreover, this disclosure describes systems and methods for determining a change in the estimated leak flow and adjusting the adaptive base flow scheduling and the adaptive inspiratory trigger threshold scheduling based on the change in the estimated leak flow.

Abstract: This disclosure describes systems and methods for providing novel adaptive base flow scheduling during ventilation of a patient to optimize the accuracy of estimated exhaled tidal volume. Further, this disclosure describes systems and methods for providing novel adaptive inspiratory trigger threshold scheduling during the novel adaptive base flow scheduling.

Abstract: The systems and methods include providing, displaying, and/or utilizing leak estimation during ventilation of a patient with a ventilator. The systems and methods include providing, displaying, and/or utilizing internal leak estimation, total leak estimation, and/or external leak estimation during ventilation of a patient with a ventilator.

Abstract: This disclosure describes systems and methods for compensating for leaks in a ventilation system based on data obtained during periods within a breath in which the patient is neither inhaling nor exhaling. The methods and systems described herein more accurately and quickly identify changes in leakage. This information is then to estimate leakage later in the same breath or in subsequent breaths to calculate a more accurate estimate of instantaneous leakage based on current conditions. The estimated leakage is then used to compensate for the leak flow rates, reduce the patient's work of breathing and increase the patient's comfort (patient-ventilator breath phase transition synchrony).

Abstract: This disclosure describes systems and methods for providing adaptive base flow scheduling during ventilation of a patient to optimize patient-machine synchrony and accuracy of estimated exhaled as well as inhaled tidal volumes. Further, this disclosure describes systems and methods for providing adaptive inspiratory trigger threshold scheduling during the adaptive base flow scheduling. Further still, this disclosure describes systems and methods for determining an estimated leak flow and adjusting the adaptive base flow scheduling and the adaptive inspiratory trigger threshold scheduling based on the estimated leak flow. Moreover, this disclosure describes systems and methods for determining a change in the estimated leak flow and adjusting the adaptive base flow scheduling and the adaptive inspiratory trigger threshold scheduling based on the change in the estimated leak flow.

Abstract: This disclosure describes systems and methods for providing adaptive base flow scheduling during ventilation of a patient to optimize patient-machine synchrony and accuracy of estimated exhaled as well as inhaled tidal volumes. Further, this disclosure describes systems and methods for providing adaptive inspiratory trigger threshold scheduling during the adaptive base flow scheduling. Further still, this disclosure describes systems and methods for determining an estimated leak flow and adjusting the adaptive base flow scheduling and the adaptive inspiratory trigger threshold scheduling based on the estimated leak flow. Moreover, this disclosure describes systems and methods for determining a change in the estimated leak flow and adjusting the adaptive base flow scheduling and the adaptive inspiratory trigger threshold scheduling based on the change in the estimated leak flow.

Abstract: This disclosure describes systems and methods for providing novel adaptive base flow scheduling during ventilation of a patient to optimize the accuracy of estimated exhaled tidal volume. Further, this disclosure describes systems and methods for providing novel adaptive inspiratory trigger threshold scheduling during the novel adaptive base flow scheduling.

Abstract: This disclosure describes systems and methods for providing novel adaptive base flow scheduling during ventilation of a patient to optimize the accuracy of estimated exhaled tidal volume. Further, this disclosure describes systems and methods for providing novel adaptive inspiratory trigger threshold scheduling during the novel adaptive base flow scheduling.

Abstract: This disclosure describes systems and methods for compensating for leaks in a ventilation system based on data obtained during periods within a breath in which the patient is neither inhaling nor exhaling. The methods and systems described herein more accurately and quickly identify changes in leakage. This information is then to estimate leakage later in the same breath or in subsequent breaths to calculate a more accurate estimate of instantaneous leakage based on current conditions. The estimated leakage is then used to compensate for the leak flow rates, reduce the patient's work of breathing and increase the patient's comfort (patient-ventilator breath phase transition synchrony).

Abstract: The systems and methods include providing, displaying, and/or utilizing leak estimation during ventilation of a patient with a ventilator. The systems and methods include providing, displaying, and/or utilizing internal leak estimation, total leak estimation, and/or external leak estimation during ventilation of a patient with a ventilator.

Abstract: Systems and methods for compensating for leaks in a ventilation system based on data obtained during periods within a breath in which the patient is neither inhaling nor exhaling. The methods and systems described herein more accurately and quickly identify changes in leakage. This information is then to estimate leakage later in the same breath or in subsequent breaths to calculate a more accurate estimate of instantaneous leakage based on current conditions. The estimated leakage is then used to compensate for the leak flow rates, reduce the patient's work of breathing and increase the patient's comfort (patient-ventilator breath phase transition synchrony).

Abstract: The systems and methods include providing, displaying, and/or utilizing leak estimation during ventilation of a patient with a ventilator. The systems and methods include providing, displaying, and/or utilizing internal leak estimation, total leak estimation, and/or external leak estimation during ventilation of a patient with a ventilator.

Abstract: 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 is unknown or undeterminable by the ventilator.

Abstract: This disclosure describes systems and methods for providing adaptive base flow scheduling during ventilation of a patient to optimize patient-machine synchrony and accuracy of estimated exhaled as well as inhaled tidal volumes. Further, this disclosure describes systems and methods for providing adaptive inspiratory trigger threshold scheduling during the adaptive base flow scheduling. Further still, this disclosure describes systems and methods for determining an estimated leak flow and adjusting the adaptive base flow scheduling and the adaptive inspiratory trigger threshold scheduling based on the estimated leak flow. Moreover, this disclosure describes systems and methods for determining a change in the estimated leak flow and adjusting the adaptive base flow scheduling and the adaptive inspiratory trigger threshold scheduling based on the change in the estimated leak flow.

Abstract: This disclosure describes systems and methods for providing adaptive base flow scheduling during ventilation of a patient to optimize patient-machine synchrony and accuracy of estimated exhaled as well as inhaled tidal volumes. Further, this disclosure describes systems and methods for providing adaptive inspiratory trigger threshold scheduling during the adaptive base flow scheduling. Further still, this disclosure describes systems and methods for determining an estimated leak flow and adjusting the adaptive base flow scheduling and the adaptive inspiratory trigger threshold scheduling based on the estimated leak flow. Moreover, this disclosure describes systems and methods for determining a change in the estimated leak flow and adjusting the adaptive base flow scheduling and the adaptive inspiratory trigger threshold scheduling based on the change in the estimated leak flow.

Abstract: This disclosure describes systems and methods for providing novel adaptive base flow scheduling during ventilation of a patient to optimize the accuracy of estimated exhaled tidal volume. Further, this disclosure describes systems and methods for providing novel adaptive inspiratory trigger threshold scheduling during the novel adaptive base flow scheduling.

Abstract: A ventilator including a pneumatic system for providing and receiving breathing gas, and a controller operatively coupled with the pneumatic system. The controller is operable to control circulation by the pneumatic system of breathing gas to and from a patient, and to adjust at least one of a volume and pressure of breathing gas delivered to the patient, such adjustment being based upon elastic properties of a component used to fluidly couple the pneumatic system to a patient.

Abstract: This disclosure describes systems and methods for providing novel adaptive base flow scheduling during ventilation of a patient to optimize the accuracy of estimated exhaled tidal volume. Further, this disclosure describes systems and methods for providing novel adaptive inspiratory trigger threshold scheduling during the novel adaptive base flow scheduling.

Abstract: A method for ventilating a patient with a ventilator includes consecutively delivering a plurality of substantially equal volume amounts into a closed ventilator circuit during a ventilator self-test, receiving a pressure measurement for each volume delivery, calculating a change in pressure for each volume delivery, consecutively releasing a plurality of substantially equal volume amounts from the closed ventilator circuit during the ventilator self-test, calculating a change in pressure for each volume release, fitting the calculated change in pressure data for volume delivery and volume release to an inhalation non-linear model equation and an exhalation non-linear model equation, respectively, deriving one or more inhalation tubing compliance compensation coefficients from the inhalation non-linear model equation, and deriving one or more exhalation tubing compliance compensation coefficients from the exhalation non-linear model equation.

Abstract: This disclosure describes systems and methods for compensating for leakage when during delivery of gas from a medical ventilator in a proportional assist mode to a patient. The technology described herein includes systems and methods to compensate the delivery of PA ventilation for leakage in the patient circuit by using leak-compensated lung flows as well as leak-compensated respiratory mechanics parameters (lung compliance and lung resistance) estimated in a manner that compensates for elastic and inelastic leaks from the ventilation system.