Devices and systems provide methods of detecting a severity change in respiratory insufficiency (RI) or chronic obstructive pulmonary disease (COPD) condition of a patient. In an example embodiment, a detection monitoring device determines one or more severity change indicators based on a measure of supplied pressure or other representative measure determined by the device. The supplied pressure may optionally be determined during pressure treatment that satisfies a target ventilation. The supplied pressure or representative data may be compared to one or more thresholds that are selected to represent a change in the condition of the RI or COPD patient such as an exacerbation of a prior condition. Results of the comparisons may trigger one or more warnings or messages to notify a patient or physician of a pending change to the patient's RI or COPD condition so that the patient may more immediately seek medical attention to treat the condition.

A method of determining a duration of safe apnoea. Information is obtained relating to a respiratory indicator, and a duration of safe apnoea is determined from the obtained information. A respiratory therapy system has one or more patient interfaces. A processor is configured to determine a duration of safe apnoea based on obtained information relating to a respiratory indicator.

A method of controlled delivery of breathing gases is described the method comprising: applying breathing gas pressure within the first naris of a patient during inhalation; applying breathing gas pressure within the second naris of the patient during inhalation; applying breathing gas pressure within the first naris of the patient during exhalation; and applying breathing gas pressure within the second naris of the patient during exhalation, wherein the breathing gas pressure applied to the first naris during inhalation is higher than the gas pressure applied to the second naris during inhalation and the breathing gas inflow to the patient is substantially through the first naris during inhalation and wherein the breathing gas pressure applied to the first naris during exhalation is lower than the gas pressure applied to the second naris during exhalation and the gas outflow from the patient is substantially through the first naris during exhalation. An apparatus and system implementing the method is also described.

A method of controlled delivery of breathing gases is described the method comprising: applying breathing gas pressure within the first naris of a patient during inhalation; applying breathing gas pressure within the second naris of the patient during inhalation; applying breathing gas pressure within the first naris of the patient during exhalation; and applying breathing gas pressure within the second naris of the patient during exhalation, wherein the breathing gas pressure applied to the first naris during inhalation is higher than the gas pressure applied to the second naris during inhalation and the breathing gas inflow to the patient is substantially through the first naris during inhalation and wherein the breathing gas pressure applied to the first naris during exhalation is lower than the gas pressure applied to the second naris during exhalation and the gas outflow from the patient is substantially through the first naris during exhalation. An apparatus and system implementing the method is also described.

Module for housing electronic and electromechanical medical equipment including a portable digital camera and processing circuitry with machine vision and machine learning software for automatically documenting healthcare events and healthcare equipment operations in the electronic health record.

Sleep apnea can be treated using positive airway pressure. Methods and systems for determining a level of airway obstruction allow beneficial adjustments to the level of expiratory positive airway pressure used to treat a subject.

A mechanical ventilation system comprises a mechanical ventilator configured to deliver ventilation to a patient. An electronic controller is programmed to control the mechanical ventilator to perform a mechanical insufflation-exsufflation (MI-E) therapy method including performing a MI-E cycle including: (i) during an insufflation cycle, delivering pressure to the patient at a positive insufflation gauge pressure; (ii) during an exsufflation cycle following step (i), delivering pressure to the patient at a negative exsufflation gauge pressure and detecting whether an upper airway collapse occurs; and (iii) reducing a magnitude of the negative exsufflation gauge pressure if an upper airway collapse is detected in step (ii).

A mechanical ventilation system comprises a mechanical ventilator configured to deliver ventilation to a patient. An electronic controller is programmed to control the mechanical ventilator to perform a mechanical insufflation-exsufflation (MI-E) therapy method including performing a MI-E cycle including: (i) during an insufflation cycle, delivering pressure to the patient at a positive insufflation gauge pressure; (ii) during an exsufflation cycle following step (i), delivering pressure to the patient at a negative exsufflation gauge pressure and detecting whether an upper airway collapse occurs; and (iii) reducing a magnitude of the negative exsufflation gauge pressure if an upper airway collapse is detected in step (ii).

A controller or processor(s) implements detection of respiratory related conditions, such as asynchrony, associated with use of a respiratory treatment apparatus or ventilator. Based on data derived from sensor signals associated with the respiratory treatment, the detector may evaluate a feature set of detection values to determine whether or not an asynchrony occurs in a breath of the patient's respiratory cycle such as by comparing the values against a set of thresholds. Different events may also be identified based on the particular feature set and threshold(s) involved in the detection processing. Automated determination of feature sets may also be implemented to design different asynchrony event classifiers. The methodologies may be implemented by computers or by respiratory treatment apparatus. The detection of such asynchrony events can then also serve as part of control logic for automated adjustments to the control parameters of the respiratory treatment generated by the respiratory treatment apparatus.

A humidifier assembly is configured to humidify a pressurized flow of breathable gas from a flow generator of a CPAP unit and includes a base configured to be attached to the flow generator, the base including a recess portion. A water receptacle is configured to be received within the recess portion of the base and includes a floor and a flange around an opening at the top of the water receptacle. A lid is hingedly attached to the base and is configured to pivot between an open position and a closed position. This lid includes a top wall, an outer depending wall, an inner depending wall in the form of a double wall, and an outlet pipe. A lid seal is attached to an underside of the top wall of the lid by way of a tongue and groove structure. A catch is located on the base and configured to lock the lid in the closed position.