Abstract: This disclosure describes systems and methods for a ventilator-derived CPAP system that mimics the flow and/or pressure oscillations or fluctuations of the B-CPAP system creating a breath type referred to herein as a mimicked-bubble-CPAP (M-CPAP) mode. Further, the disclosure describes systems and methods for delivery of other breath types with flow and/or pressure oscillations or fluctuations that mimic the oscillation observed during ventilation with the B-CPAP system, referred to herein as adjusted breath types.

Abstract: This disclosure describes systems and methods for monitoring and evaluating ventilatory parameters, analyzing ventilatory data associated with those parameters, and providing useful notifications and/or recommendations to clinicians. Modern ventilators monitor, evaluate, and graphically represent a myriad of ventilatory parameters. However, many clinicians may not easily identify or recognize data patterns and correlations indicative of certain patient conditions, changes in patient condition, and/or effectiveness of ventilatory treatment. Further, clinicians may not readily determine appropriate ventilatory adjustments that may address certain patient conditions and/or the effectiveness of ventilatory treatment. Specifically, clinicians may not readily detect or recognize the presence of Auto-PEEP during various types of pressure ventilation of a patient exhibiting an obstructive component.

Abstract: This disclosure describes systems and methods for monitoring and evaluating ventilatory parameters, analyzing those parameters and providing useful notifications and recommendations to clinicians. That is, modern ventilators monitor, evaluate, and graphically represent multiple ventilatory parameters. However, many clinicians may not easily recognize data patterns and correlations indicative of certain patient conditions, changes in patient condition, and/or effectiveness of ventilatory treatment. Further, clinicians may not readily determine appropriate ventilatory adjustments that may address certain patient conditions and/or the effectiveness of ventilatory treatment. Specifically, clinicians may not readily detect or recognize the presence of Auto-PEEP during volume ventilation of a non-triggering patient exhibiting an obstructive component.

Abstract: This disclosure describes systems and methods for monitoring and evaluating ventilatory parameters, analyzing those parameters and providing useful notifications and recommendations to clinicians. That is, modern ventilators monitor, evaluate, and graphically represent multiple ventilatory parameters. However, many clinicians may not easily recognize data patterns and correlations indicative of certain patient conditions, changes in patient condition, and/or effectiveness of ventilatory treatment. Further, clinicians may not readily determine appropriate ventilatory adjustments that may address certain patient conditions and/or the effectiveness of ventilatory treatment. Specifically, clinicians may not readily detect or recognize the presence of Auto-PEEP during volume ventilation of a triggering patient exhibiting an obstructive component.

Abstract: This disclosure describes systems and methods for monitoring and evaluating ventilatory parameters, analyzing ventilatory data associated with those parameters, and providing useful notifications and/or recommendations to clinicians. Modern ventilators monitor, evaluate, and graphically represent a myriad of ventilatory parameters. However, many clinicians may not easily identify or recognize data patterns and correlations indicative of certain patient conditions, changes in patient condition, and/or effectiveness of ventilatory treatment. Further, clinicians may not readily determine appropriate ventilatory adjustments that may address certain patient conditions and/or the effectiveness of ventilatory treatment. Specifically, clinicians may not readily detect or recognize the presence of Auto-PEEP during various types of pressure ventilation.

Abstract: A breathing support system is provided. The system may include a breathing support device configured to deliver gas to a patient and a display device associated with the breathing support device. The display device may be configured to display a graphic indicating one or more measures regarding the patient's work of breathing.

Abstract: This disclosure describes systems and methods for monitoring ventilatory parameters, analyzing ventilatory data associated with those parameters, and providing useful notifications and/or recommendations to clinicians. For example, many clinicians may not easily identify or recognize data patterns and correlations indicative of a fluctuation in resistance during mechanical ventilation of a patient. Furthermore, clinicians may not easily determine potential causes for the fluctuation in resistance and/or steps for mitigating the fluctuation in resistance. According to embodiments, a ventilator may be configured to monitor and evaluate diverse ventilatory parameters to detect fluctuations in resistance and may issue suitable notifications and recommendations to the clinician based on potential causes of the fluctuation, ventilatory and/or patient data, etc.

Abstract: This disclosure describes systems and methods for configuring a ventilator for providing automatic, periodic ventilator adjustments to stimulate non-triggering patients to begin initiating spontaneous breathing efforts. Based on studies of respiration, a neural signal stimulating spontaneous breathing efforts is initiated when a patient's arterial partial pressure of carbon dioxide (PaCO2) reaches a certain threshold level, which threshold level may vary from individual to individual. Accordingly, an automatic, periodic ventilator challenge to stimulate spontaneous breathing efforts in a non-triggering patient is provided. An automatic, periodic ventilator challenge refers to an automatic, periodic reduction in the ventilation of a non-triggering patient intended to increase PaCO2 levels within a clinically-acceptable range.

Abstract: This disclosure describes systems and methods for providing a model-based transformed proportional assist breath type during ventilation of a patient. The disclosure describes a novel breath type that delivers a target pressure calculated based on a predetermined trajectory and a support setting to a triggering patient.

Abstract: This disclosure describes novel systems and methods for monitoring volumetric CO2 during ventilation of a patient being ventilated by a medical ventilator. The disclosure describes more accurate, more cost effective, and/or less burdensome non-invasive methods and systems for calculating volumetric CO2 than previously utilized methods and systems. The disclosure describes estimating a flow rate in a breathing circuit to calculate a volumetric CO2. Further, the disclosure describes synchronizing the estimated flow rate with a measured CO2 to calculate a volumetric CO2. Additionally, the disclosure describes synchronizing a measured flow rate from within the breathing circuit with a measured CO2 to calculate a volumetric CO2.

Abstract: This disclosure describes novel systems and methods for monitoring volumetric CO2 during ventilation of a patient being ventilated by a medical ventilator. The disclosure describes more accurate, more cost effective, and/or less burdensome non-invasive methods and systems for calculating volumetric CO2 than previously utilized methods and systems. The disclosure describes estimating a flow rate in a breathing circuit to calculate a volumetric CO2. Further, the disclosure describes synchronizing the estimated flow rate with a measured CO2 to calculate a volumetric CO2. Additionally, the disclosure describes synchronizing a measured flow rate from within the breathing circuit with a measured CO2 to calculate a volumetric CO2.

Abstract: A breathing support system is provided. The system may include a breathing support device configured to deliver gas to a patient and a display device associated with the breathing support device. The display device may he configured to display a work of breathing graphic indicating one or more work of breathing measures regarding the patient's breathing.

Abstract: This disclosure describes systems and methods for monitoring and evaluating ventilatory data to provide useful notifications and/or recommendations. Indeed, many clinicians may not easily identify or recognize data patterns and correlations indicative of certain patient conditions or the effectiveness of ventilatory treatment. Further, clinicians may not readily determine appropriate adjustments that may address certain patient conditions or the effectiveness of ventilatory treatment. Specifically, clinicians may not readily detect or recognize the occurrence of high-delivered VT during various types of ventilation. According to embodiments, a ventilator may be configured to monitor and evaluate diverse ventilatory parameters to detect an occurrence of and potential causes for high-delivered VT and may subsequently issue suitable notifications and/or recommendations.

Abstract: This disclosure describes systems and methods for providing a transitory ventilation support breath type during ventilation of a patient. The disclosure describes a novel breath type that provides for a beneficial transition between an assist breath type and an effort-based breath type and/or a breath type that is beneficial for weak patients.

Abstract: This disclosure describes systems and methods for monitoring and evaluating ventilatory parameters, analyzing those parameters and providing useful notifications and recommendations to clinicians. That is, modern ventilators monitor, evaluate, and graphically represent multiple ventilatory parameters. However, many clinicians may not easily recognize data patterns and correlations indicative of certain patient conditions, changes in patient condition, and/or effectiveness of ventilatory treatment. Further, clinicians may not readily determine appropriate ventilatory adjustments that may address certain patient conditions and/or the effectiveness of ventilatory treatment. Specifically, clinicians may not readily detect or recognize the presence of inadequate flow during ventilation.

Abstract: The disclosure describes improved systems and methods for displaying a trend history of the patient condition using pictorial representations that dynamically change as the clinician advances and reverses through an independent parameter. The present application displays changes in patient condition as a pictorial instead of a number or waveform. By displaying changes in patient condition in a pictorial, a clinician may be able to quickly understand how the dependent parameters have changed as a function of an independent parameter. As the pictorial changes, it animates from one condition to the next to more effectively indicate changes in patient condition. A representation of the normal or desired condition for a parameter is shown as a static pictorial that is overlaid with the dynamically changing trend. In this manner the clinician can determine how the patient condition is changing relative to a desired state.

Abstract: This disclosure describes systems and methods for monitoring and evaluating ventilatory parameters, analyzing those parameters and providing useful notifications and recommendations to clinicians. That is, modern ventilators monitor, evaluate, and graphically represent multiple ventilatory parameters. However, many clinicians may not easily recognize data patterns and correlations indicative of certain patient conditions, changes in patient condition, and/or effectiveness of ventilatory treatment. Further, clinicians may not readily determine appropriate ventilatory adjustments that may address certain patient conditions and/or the effectiveness of ventilatory treatment. Specifically, clinicians may not readily detect or recognize the presence of double triggering during ventilation.

Abstract: This disclosure describes systems and methods for monitoring and evaluating ventilatory parameters, analyzing those parameters and providing useful notifications and recommendations to clinicians. That is, modern ventilators monitor, evaluate, and graphically represent multiple ventilatory parameters. However, many clinicians may not easily recognize data patterns and correlations indicative of certain patient conditions, changes in patient condition, and/or effectiveness of ventilatory treatment. Further, clinicians may not readily determine appropriate ventilatory adjustments that may address certain patient conditions and/or the effectiveness of ventilatory treatment. Specifically, clinicians may not readily detect or recognize the presence of double triggering during ventilation.

Abstract: This disclosure describes systems and methods for monitoring ventilatory parameters, analyzing ventilatory data associated with those parameters, and providing useful notifications and/or recommendations to clinicians. For example, many clinicians may not easily identify or recognize data patterns and correlations indicative of a fluctuation in resistance during mechanical ventilation of a patient. Furthermore, clinicians may not easily determine potential causes for the fluctuation in resistance and/or steps for mitigating the fluctuation in resistance. According to embodiments, a ventilator may be configured to monitor and evaluate diverse ventilatory parameters to detect fluctuations in resistance and may issue suitable notifications and recommendations to the clinician based on potential causes of the fluctuation, ventilatory and/or patient data, etc.

Abstract: This disclosure describes systems and methods for issuing a prompt in response to one or more proposed settings adjustments. Specifically, the prompt may include a projected impact of the one or more proposed settings adjustments on patient condition and/or patient treatment. The prompt may further provide an impact level and/or an alert associated with the projected impact. According to embodiments, one or more recommendations for alternative settings adjustments may be provided on the prompt or on an extension of the prompt. According to embodiments, a clinician may scroll through a plurality of potential settings adjustments until a desired impact level is displayed on the prompt (e.g., a positive impact level). According to still other embodiments, a plurality of proposed settings adjustments may be received. In this case, the projected impact displayed on the prompt may represent a combined projected impact of the plurality of proposed settings adjustments received.