Abstract: The present disclosure pertains to a system and method for monitoring lung disease in a patient that is based on information that is derivable from home therapy devices including a ventilation therapy device and an oxygen saturation monitor such as a pulse oximeter. The measured parameters are used to model shunt fraction and a volume of dead space. Based on changes in gas exchange and results of a nitrogen washout test, a change in gas exchange impairment in the patient is observed and is then used to determine progression of a disease, identify a cause of the impairment, and/or to guide treatment of the patient.

Abstract: An apparatus, comprising a processor and memory storing instructions that, when executed by the processor, cause the processor to: receive ventilator data obtained from continual mechanical ventilatory support of a patient over a period of time, analyze the ventilator data to identify a plurality of breathing cycles, classify the plurality of breathing cycles into normal breathing cycles and abnormal breathing cycles, using a machine learning algorithm, detect a change in the normal breathing cycles, compared to normal breathing cycles identified by the apparatus based on ventilator data obtained from continual mechanical ventilatory support of the patient over a previous period of time, and generate output indicative of the change in the normal breathing cycles.

Abstract: The present disclosure pertains to a system (10) configured to automatically set the positive end expiratory pressure (PEEP) during mechanical ventilation (800). The system uses a measured relationship between transpulmonary pressure and lung volume (804) to set PEEP (808) such that mechanically assisted breaths are delivered more effectively to open airways (e.g., tidal breaths will be delivered to airways that consist of alveoli that have not contracted or collapsed at the end of expiration) (810). Furthermore, the system is configured to sense (18, 804) when the lungs may be either hyperextended and/or undergoing cyclic atelectasis in order to prevent trauma or injury to the lung's fibrous tissue. The system is configured to perform recruitment and/or continuous monitoring and adjustment of the PEEP setting to maintain an open lung.

Abstract: Systems and methods provide respiratory therapy to a subject through a pressurized flow of breathable gas. Timing and other characteristics of pressure and flow levels provided during inhalations and exhalations are adjusted in order to increase the volumetric rate of expulsion of CO2.

Abstract: A ventilator system (10) includes a ventilator source (12), camera (14), database (16) and controller (16). A first plurality of ventilation components in a ventilation circuit (34) are coupled between the ventilator source and a patient. The camera captures images of the ventilation circuit. The database includes multi-view images of a second plurality of ventilation components pre-approved for use with the ventilator source. The controller (16) includes (i) a control module (22), (ii) a component recognition and identification module (24), (iii) a component tracking module (26) configured to track targets and to detect at least one change in tracked targets, and (iv) a ventilation compensation module (28).

Abstract: A ventilator that is small, lightweight, and portable, yet capable of being quickly adapted to operate in a plurality of different modes and configurations to deliver a variety of therapies to a patent. A porting system having a plurality of sensors structured to monitor a number of parameters with respect to the flow of gas, and a number of porting blocks is used to reconfigure the ventilator so that it operates as a single-limb or dual limb ventilator. In the single-limb configuration, an active or passive exhaust assembly can be provided proximate to the patient. The ventilator is capable of operate in a volume or pressure support mode, even in a single-limb configuration. In addition, a power control mechanism controls the supply of power to the ventilator from an AC power source, a lead acid battery, an internal rechargeable battery pack, and a detachable battery pack.

Abstract: The present disclosure pertains to a pressure support system configured to identify respiratory events of a subject. The system is configured to produce and analyze signals pertaining to one or more parameters of the pressurized flow of breathable gas to identify respiratory events. The respiratory events may include coughs and/or other respiratory events. The parameters may comprise a pressure, flow and/or volume of the pressurized flow of breathable gas. In some embodiments, cough detection may be based on a vibration in pressure, a negative spike in flow, a cessation in flow, and/or a large insufflation. In some embodiments, the system comprises one or more of a pressure generator, a subject interface, one or more sensors, a processor, a user interface, electronic storage, and/or other components.

Abstract: The present disclosure describes a system for providing model-based assessments of patient risk, including a processor configured to obtain, for each of a plurality of patients, a symptomatic risk score and a demographic risk score, obtain a weighting coefficient for each patient's respective demographic risk score, multiply each weighting coefficient by the respective demographic risk scores to produce respective a weighted demographic risk score for each patient, obtain, a three dimensional weighting parameter surface in which one dimension is symptomatic risk score, one dimension is demographic risk score, and one dimension is weighting parameter such that for each combination of symptomatic risk score and demographic risk score, a weighting parameter is defined, generate a two dimensional array of patient scores according to their respective symptomatic risk score and their respective weighted symptomatic risk score, and output the stratified two dimensional array of patient risk coordinates to a display.

Abstract: The present disclosure pertains to a system and method for monitoring lung disease in a patient that is based on information that is derivable from home therapy devices including a ventilation therapy device and an oxygen saturation monitor such as a pulse oximeter. The measured parameters are used to model shunt fraction and a volume of dead space. Based on changes in gas exchange and results of a nitrogen washout test, a change in gas exchange impairment in the patient is observed and is then used to determine progression of a disease, identify a cause of the impairment, and/or to guide treatment of the patient.

Abstract: The present disclosure pertains to a mechanical ventilator system configured to control a pressurized flow of breathable gas for delivery to a subject based on alveolar ventilation of the subject. The mechanical ventilator system comprises a pressure generator configured to generate the pressurized flow of breathable gas for delivery to the subject, the pressure generator configured to control one or more ventilation parameters of the pressurized flow of breathable gas according to a prescribed mechanical ventilation therapy regime; one or more sensors configured to generate output signals conveying information related to the alveolar ventilation of the subject; and one or more hardware processors configured by machine-readable instructions to: determine the alveolar ventilation of the subject based on the output signals; and cause the pressure generator to adjust the one or more ventilation parameters of the pressurized flow of breathable gas based on the determined alveolar ventilation.

Abstract: The present disclosure pertains to a pressure support system (10) configured to deliver a pressurized flow of breathable gas to the airway of a subject (12), the pressure support system comprising: a pressure generator (14) configured to generate the pressurized flow of breathable gas; one or more sensors (18) configured to generate output signals conveying information related to whether the subject is ready to receive breath stacking therapy; and one or more processors (20) configured to execute computer program modules, the computer program modules comprising: —a control module (52) configured to control the pressure generator to generate the pressurized flow of breathable gas according to a pressure control therapy regime, —an event module (54) configured to determine breath stacking events responsive to the output signals indicating that the subject is ready to receive breath stacking therapy, and —a breath stacking module (56) configured to, responsive to the determination of a breath stacking event, con

Abstract: The present disclosure pertains to a method and system configured for detecting a gas delivery malfunction in a spontaneous mechanical ventilation mode. In some embodiments, the system comprises a pressure generator, a subject interface, one or more sensors, one or more processors, electronic storage, a user interface, and/or other components. The detection of a gas delivery malfunction in a spontaneous mechanical ventilation mode is implemented by generating a test flow of gas for delivery to an airway of a subject, and monitoring a responsive flow of gas in the subject interface. If one or more parameters associated with the responsive flow of gas demonstrate inconsistencies with a reference flow of gas responsive to the test flow under a condition that there is no gas delivery malfunction, the system determines that there is a gas delivery malfunction.

Abstract: A flow of breathable gas is delivered to a subject through a patient interface assembly. An enhanced technique for determining whether the airway of subject is disengaged from the patient interface assembly. A model that provides predicted values of a dynamic property of the flow of breathable gas is fit to measured values of the dynamic property. The model and/or the fit of the predicted values to the measured values are then analyzed to determine whether or not the airway of the subject is disengaged from the patient interface assembly. This provide enhanced determination of these conditions even in implementations in which a restrictive patient interface assembly is used.

Abstract: A system and a method for expiratory flow limitation (EFL) detection by controlling positive pressure (e.g., PEEP) applied during expiration for a subject is based on a temporary perturbation or adjustment of a pressure level of positive pressure during exhalation on selected breaths. The different responses to such a perturbation of flow-limited breaths compared to non-flow limited breaths is used to assess EFL in a subject. Automatic adjustments of the positive pressure applied to the patient are used in the disclosed algorithm to abolish EFL, and are implemented through existing ventilators and other respiratory devices.

Abstract: The present disclosure pertains to a system configured to detect slow waves in a subject during a sleep session. The system generates output signals conveying information related to brain activity of the subject. The system is configured to detect individual sleep stages of the subject, the individual sleep stages including a deep sleep stage; and, responsive to detecting the deep sleep stage, generate a harmonic representation of the output signals for a period of time during the sleep session that includes the deep sleep stage; identify two or more points of significance on the harmonic representation of the output signals; and analyze a shape of the harmonic representation of the output signals around the two or more points of significance to determine whether the shape of the harmonic representation of the output signals around the two or more points of significance corresponds to a shape of a slow wave.

Abstract: The present disclosure pertains to a system for controlling a leak flow rate during respiratory therapy. The system is configured to determine a leak flow rate necessary for CO2 expulsion for an individual subject and facilitate control of the leak flow rate during therapy such that the system exhausts substantially the entire exhaled volume of gas during an expiration of the subject. The system facilitates control of the leak flow rate during therapy via an adjustable leak valve. Determining the leak flow rate for the subject and facilitating control of the leak rate may minimize noise from air flow in the system, minimize the power draw needed by a pressure generator of the system, reduce a loss of medicine added to the respiratory therapy gas, and/or have other advantages, while still expelling the desired amount of CO2.

Abstract: A ventilator system (10) includes a ventilator source (12), camera (14), database (16) and controller (16). A first plurality of ventilation components in a ventilation circuit (34) are coupled between the ventilator source and a patient. The camera captures images of the ventilation circuit. The database includes multi-view images of a second plurality of ventilation components pre-approved for use with the ventilator source. The controller (16) includes (i) a control module (22), (ii) a component recognition and identification module (24), (iii) a component tracking module (26) configured to track targets and to detect at least one change in tracked targets, and (iv) a ventilation compensation module (28).

Abstract: A pressure control ventilation system (10) configured to provide airway release ventilation synchronous with a breathing subject that includes a pressure generator (12) configured to generate pressurized flow of breathable gas to a subject, one or more sensors (28) configured to generate output signals conveying information related to one or more gas parameters of the pressurized flow, one or more processors (14) configured to execute computer modules comprising: a synchronization module (16) configured to detect inspiratory (39, 45) and expiratory (40, 44, 59) flow phases of the subject based at least on the signals; an interval module (18) configured to define time intervals (54, 60); a control module (20) configured to control the generator to deliver flow fluctuating between a first pressure range (48) to maintain adequate lung volume and a second pressure range (50) to facilitate C02 exhalation, the control including: delivering the flow in the first range at the beginning (56) of a first time interval (

Abstract: The present disclosure pertains to a system (10) configured to automatically set the positive end expiratory pressure (PEEP) during mechanical ventilation (800). The system uses a measured relationship between transpulmonary pressure and lung volume (804) to set PEEP (808) such that mechanically assisted breaths are delivered more effectively to open airways (e.g., tidal breaths will be delivered to airways that consist of alveoli that have not contracted or collapsed at the end of expiration) (810). Furthermore, the system is configured to sense (18, 804) when the lungs may be either hyperextended and/or undergoing cyclic atelectasis in order to prevent trauma or injury to the lung's fibrous tissue. The system is configured to perform recruitment and/or continuous monitoring and adjustment of the PEEP setting to maintain an open lung.

Abstract: The present disclosure pertains to a nasal therapy system. In one embodiment, the nasal therapy system includes at least one flow sensor is configured to determine a flow rate of a gas flow to be provided to a patient via a nasal interface; at least one pressure sensor configured to determine an amount of pressure of the gas flow based, at least in part, on a prescribed pressure; a valve operable to control an amount of the gas flow being provided to the nasal interface; and a controller configured to determine a flow rate difference between a prescribed flow rate and the flow rate, and cause an output setting of the valve to be adjusted to control the amount of the gas flow being provided to the nasal interface such that the amount of the gas flow is maintained at the prescribed flow rate and the prescribed pressure.