A respiratory therapy apparatus is operable to deliver multiple types of therapy to a patient. The apparatus includes a main housing and a nebulizer tray that selectively attaches to a bottom of the main housing. The apparatus also includes a filter housing unit having an antenna surrounding a pneumatic passage and a transponder chip coupled to the antenna. The main housing has also has an antenna that surrounds a respective pneumatic passage of a main outlet port of the apparatus. The main housing includes a reader that controls communication between the antennae. The main housing of the apparatus also has a pivotable hose support plate, a firmware upgrade port underneath part of the top wall of the housing, and a graphical user interface (GUI) that displays various user inputs for control of the apparatus and that displays various alert conditions that are detected.

A ventilator including a housing; a gas inlet port disposed in the housing and adapted to be coupled to a gas source to receive a flow of gas; a valve assembly coupled with the gas inlet port for controlling flow of gas from the gas inlet port to a gas outlet port disposed in the housing and adapted for being coupled to a patient interface to fluidly couple the gas outlet port to the airway of a patient; a controller module disposed in the housing, the controller module comprising a controller operatively coupled with the valve assembly to control operation of the valve assembly; an airway pressure sensor positioned between the valve assembly and the patient interface to measure air flow output into flowing into the airway of the patient; wherein the pressure sensor is operatively connected to the controller module to control the operation of the valve assembly in response to changes in air flow output measured by the airway pressure sensor during use.

A patient interface is disclosed that includes: a plenum chamber pressurisable to a therapeutic pressure; a seal-forming structure joined to the plenum chamber and comprising a nasal portion, an oral portion, and at least one hole configured to deliver a flow of air at said therapeutic pressure to at least the patients nares in use, the seal-forming structure constructed and arranged to maintain said therapeutic pressure in the plenum chamber throughout the patients respiratory cycle in use; a vent comprising a plurality of holes configured to allow a continuous vent flow from an interior of the plenum chamber to ambient; a positioning and stabilising structure comprising at least one tie and being configured to hold the seal-forming structure in a therapeutically effective position on the patient's head in use; and a textile portion configured to contact the patients face.

Systems and methods for clinician decision support during mechanical ventilation of a patient comprise evaluating a shape and/or characteristics of a waveform to detect an anomaly. While mechanical ventilators are equipped with a number of alarms and alerts when monitored patient data breaches various alarm thresholds, some anomalies in patient data may go unnoticed by clinicians. These anomalies, however, may provide relevant information regarding patient condition. Accordingly, in response to detecting an anomaly, the ventilator captures at least a portion of the waveform. The waveform capture, which may be annotated with various labels and educational information, may be reviewed by a clinician to obtain additional information regarding the anomaly. In this way, clinicians may be trained to recognize and address anomalies associated with waveform data and thereby be armed with information to optimize patient-ventilator interaction.

The present disclosure is directed to a pre-filled container configured to store a pre-defined volume of a vaporizable liquid composition. The present disclosure is also directed to personal vaporizing devices for using such containers. In one embodiment, the pre-filled container is configured to provide a vaporizable liquid composition stored therein to an ultrasonic vaporizing component via capillary action for vaporization thereof.

A method includes applying, via a respiratory therapy system, initial therapy settings for a user during a first sleep session in which the user uses the respiratory therapy system. First physiological data, which is received from one or more sensors, is generated during the first sleep session. Modified therapy settings are applied, via the respiratory therapy system, during a second sleep session of the user. Second physiological data is received from the one or more sensors. The second physiological data is generated by the one or more sensors during the second sleep session. A set of sleep-related parameters is determined based on changes between the first physiological data and the second physiological data. One or more of a recommended therapy or recommended therapy settings is determined based on the set of sleep-related parameters.

A system that enables remote adjustment of oxygen flow from an oxygen source includes a gas source device fluidly coupled to a gas source, a remote delivery device with an outlet for providing gas to a user and an inlet fluidly coupled to an outlet of the gas source device, wherein the gas source device has a control system. The control system determines a current control setting of the remote delivery device based on pneumatic feedback from the remote delivery device and modifies a pressure of gas flowing from the gas source device to the remote delivery device based on the current control setting of the remote delivery device, so that a target flow volume of supply gas associated with the current control setting is delivered to the inlet.

A controller or processor(s) implements detection of respiratory related conditions that may serve as control logic to synchronize pressure treatment delivery with a patient's respiratory cycle. Based on data derived from sensor signals associated with the respiratory treatment, a monitoring device, detector or respiratory treatment apparatus may evaluate flow measures from a flow sensor and distinguish flow attributable to the respiratory treatment apparatus and flow attributable to patient respiratory muscles. The determination may serve as a basis of synchronization criteria that controls pressure levels from a pressure treatment apparatus, such as by evaluating the determined patient generated flow or a relationship between total flow and apparatus flow. In some embodiments, data for the cycling conditions is determined in preliminary treatment cycles during which synchronized pressure changes are controlled according to other cycling criteria. The new cycling conditions are then automatically initiated for control of synchronization in subsequent cycles.

The present disclosure relates to a system and method for use of acoustic reflectometry information in ventilation devices. The system and method includes a speaker to emit sound waves into an intubated endotracheal tube (“ETT”) and a microphone to detect returning acoustic reflections. In addition, the system and method includes a reflectometry device in communication with a ventilation device for analyzing timings and amplitudes of the returning acoustic reflections to determine a size of a passageway around an ETT tip, location and size of ETT obstructions, and relative movement of the ETT tip within a trachea. The reflectometry device is also configured to determine a resistance parameter representative of resistance to actual flow of air through the ETT based upon a function of the diameter of the ETT, length of the ETT, and percent obstruction of the ETT, where the resistance parameter is used to calculate the tracheal pressure.

Methods and apparatus provide automated circuit disconnection monitoring such as for a respiratory apparatus or system. Disconnection of a patient circuit, including a patient interface and air delivery circuit, may be detected and a message or alarm activated. In some versions, detecting occurrences of circuit disconnection event(s), such as by a processor, may be based on an instantaneous disconnection parameter as a function of a disconnection setting. The disconnection setting may be determined based on patient circuit type. The instantaneous disconnection parameter may be determined from detected pressure and flow rate, and may be, for example, a conductance value or an impedance value. Disconnection events may be qualified by one or more detected respiratory indicators. In some cases, instantaneous impedance or conductance may be used to assess re-connection of a patient circuit, detection of flow starvation, determine breath shape for triggering and cycling and to detect patient or circuit obstructions.