Abstract: Various embodiments of the present invention provide systems, methods and devices for respiratory support. As one example, a method is described that includes providing a measured signal such as gas pressure or flow or any respiratory signal derived or obtained by combining pressure or flow signals related to a patient's breathing. Breathing events of interest are detected by establishing similarity of at least a portion of the measured signal with a reference signal or a collection of reference signals using a similarity criterion. A ventilation cycle is triggered if patients breath phase transition event is detected from the measured signal using the described method.

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: Various embodiments of the present disclosure provide systems, methods and devices for respiratory support. As one example, a method for respiratory support is described that includes providing a measured pressure, and calculating a net flow based on at least one measured inlet flow and measured outlet flow. A relationship between a first value related to the measured pressure, a second value related to the measured net flow and a third value related to patient effort is used to provide a prediction of patient effort. An interim value is updated based at least in part on the prediction of the patient effort, and used to help compute a patient effort. A ventilation cycle is initiated using the computed patient effort.

Abstract: Various embodiments of the present disclosure provide systems, methods and devices for respiratory support. As one example, a ventilation system is disclosed that includes a computer readable medium including instructions executable by a processor to receive a measured pressure value and a net flow value. A patient effort value is calculated based on a relationship between patient effort, the measured pressure value and the net flow value. The instructions are further executable to calculate a gas delivery metric that varies as a function of the patient effort value. Gas is then caused to be delivered consistent with the gas delivery metric.

Abstract: Various embodiments of the present disclosure provide systems, methods and devices for respiratory support. As one example, a method for respiratory support is described that includes providing a measured pressure, and calculating a net flow based on at least one measured inlet flow and measured outlet flow. A relationship between a first value related to the measured pressure, a second value related to the measured net flow and a third value related to patient effort is used to provide a prediction of patient effort. An interim value is updated based at least in part on the prediction of the patient effort, and used to help compute a patient effort. A ventilation cycle is initiated using the computed patient effort.

Abstract: Various embodiments of the present disclosure provide systems, methods and devices for respiratory support. As one example, a method for respiratory support is described that includes measuring a pressure, providing a measured pressure, measuring an inlet flow and an outlet flow, and providing a measured net flow. A relationship between a first value related to the measured pressure, a second value related to the measured net flow and a third value related to patient effort is used to provide a prediction of patient effort. An interim value is updated based at least in part on the prediction of the patient effort.

Abstract: Various embodiments of the present disclosure provide systems, methods and devices for respiratory support. As one example, a method for respiratory support is described that includes measuring a pressure, providing a measured pressure, measuring an inlet flow and an outlet flow, and providing a measured net flow. A relationship between a first value related to the measured pressure, a second value related to the measured net flow and a third value related to patient effort is used to provide a prediction of patient effort. An interim value is updated based at least in part on the prediction of the patient effort.

Abstract: Various embodiments of the present disclosure provide systems, methods and devices for respiratory support. As one example, a ventilation system is disclosed that includes a computer readable medium including instructions for operating in a hybrid mode. These instructions include measuring patient effort during a spontaneous breath type and deriving a neural inspiratory time from the measurements of patient effort. This neural inspiratory time is then set as the inspiratory for a breath of a mandatory breath type. If new patient effort measurements are received by the ventilator, the neural inspiratory time may be adjusted.

Abstract: Various embodiments of the present disclosure provide systems, methods and devices for respiratory support. As one example, a ventilation system is disclosed that includes a computer readable medium including instructions executable by a processor to receive a measured pressure value and a net flow value. A patient effort value is calculated based on a relationship between patient effort, the measured pressure value and the net flow value. The instructions are further executable to calculate a gas delivery metric that varies as a function of the patient effort value. Gas is then caused to be delivered consistent with the gas delivery metric.

Abstract: Various embodiments of the present disclosure provide systems, methods and devices for respiratory support. As one example, a method for respiratory support is described that includes providing a measured pressure, and calculating a net flow based on at least one measured inlet flow and measured outlet flow. A relationship between a first value related to the measured pressure, a second value related to the measured net flow and a third value related to patient effort is used to provide a prediction of patient effort. An interim value is updated based at least in part on the prediction of the patient effort, and used to help compute a patient effort. A ventilation cycle is initiated using the computed patient effort.

Abstract: Various embodiments of the present disclosure provide systems, methods and devices for respiratory support. As one example, a ventilation system is disclosed that includes a graphical display, a processor and a computer readable medium. The computer readable medium is communicably coupled to the processor and includes instructions executable by the processor to receive a measured pressure value, and receive a net flow value. The instructions are further executable to calculate a patient effort value based on a relationship between patient effort, the measured pressure value and the net flow value; and to plot the patient effort value to the graphical display.

Abstract: Various embodiments of the present disclosure provide systems, methods and devices for respiratory support. As one example, a ventilation system is disclosed that includes a computer readable medium including instructions executable by a processor to receive a measured pressure value and a net flow value. A patient effort value is calculated based on a relationship between patient effort, the measured pressure value and the net flow value. The instructions are further executable to calculate a gas delivery metric that varies as a function of the patient effort value. Gas is then caused to be delivered consistent with the gas delivery metric.

Abstract: Various embodiments of the present disclosure provide systems, methods and devices for respiratory support. As one example, a method for respiratory support is described that includes providing a measured pressure, and calculating a net flow based on at least one measured inlet flow and measured outlet flow. A relationship between a first value related to the measured pressure, a second value related to the measured net flow and a third value related to patient effort is used to provide a prediction of patient effort. An interim value is updated based at least in part on the prediction of the patient effort, and used to help compute a patient effort. A ventilation cycle is initiated using the computed patient effort.

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 controlling pressure and/or flow during exhalation. The disclosure describes novel exhalation modes for ventilating a patient.

Abstract: Various embodiments of the present disclosure provide systems, methods and devices for respiratory support. As one example, a ventilation system is disclosed that includes a computer readable medium including instructions for operating in a hybrid mode. These instructions include measuring patient effort during a spontaneous breath type and deriving a neural inspiratory time from the measurements of patient effort. This neural inspiratory time is then set as the inspiratory for a breath of a mandatory breath type. If new patient effort measurements are received by the ventilator, the neural inspiratory time may be adjusted.

Abstract: Various embodiments of the present disclosure provide systems, methods and devices for respiratory support. As one example, a ventilation system is disclosed that includes a computer readable medium including instructions executable by a processor to receive a measured pressure value and a net flow value. A patient effort value is calculated based on a relationship between patient effort, the measured pressure value and the net flow value. The instructions are further executable to calculate a gas delivery metric based on the computed patient effort to obtain a predetermined patient effort. Gas is then caused to be delivered consistent with the gas delivery metric.

Abstract: This disclosure describes systems and methods for controlling blood oxygen saturation (SpO2) or partial pressure of oxygen in arterial blood (PaO2) of a patient being ventilated by a medical ventilator. The disclosure describes a novel approach of utilizing dynamic, real-time ventilator information in a closed-loop controller to determine the necessary FiO2 and flow commands for the medical ventilator.