Abstract: Methods and apparatus provide acoustic detection for automated devices such as respiratory treatment apparatus. In some embodiments of the technology, acoustic analysis of noise or sound pulses, such as a cepstrum analysis, based on signals of a sound sensor permits detection of obstruction such as within a patient interface, mask or respiratory conduit or within patient respiratory system. Some embodiments further permit detection of accessories such as an identification thereof or a condition of use thereof, such as a leak. Still further embodiments of the technology permit the detection of a patient or user who is intended to use the automated device.

Abstract: An eye mask system for providing respiratory pressure therapy (RPT) for treatment of sleep disordered breathing, comprising: an eye mask configured to cover the user's eyes in use; one or more transducers configured to influence the user's sleep and/or detect characteristics of the user or the user's sleep. The eye mask system may comprise: a connection port to receive a pressurised flow of air or a flow generator; the eye mask system may comprise a plenum chamber, a seal-forming structure to form a seal with a region of the user's face and a vent to allow flow of gases exhaled by the user to ambient. The eye mask system may operate in a non-treatment mode in which RPT is not provided to the user, and a treatment mode in which RPT is provided to the user.

Abstract: Methods of an apparatus determine a quantity of a body of water in a humidifier such as by indirect measurement. The quantity of water may be determined by measuring one or more properties or characteristics, from which the quantity of water may be inferred. Characteristics of a flow of air, the humidifier, and/or the body of water may be measured. The characteristics may be, for example, pressure, flow rate, noise, vibration, temperature, electrical or mechanical. These may be measured by one or more sensors, which may be located in the humidifier, RPT device, air circuit or the patient interface. The methods described may have advantages, for example in being able to detect the quantity of water without requiring sensors to be present in a disposable component, and in some cases, without introduction of additional sensors.

Abstract: Two or more microphone arrays in an ear-worn device such as an earbud may detect a sound generated by a source body. A processor of the earbud may generate, based on the sound, a noise cancellation data package including an anti-phase sound. The processor may transmit the noise cancellation data package to a second earbud to cancel the sound for another body.

Abstract: Apparatus and methods provide system characterisation such as for operation of respiratory treatment apparatus. Such a characterisation may include a determination of a patient interface type and/or an event such as a leak or blocked vent. For a characterisation, one or more controller(s) or processor(s) may be configured to make a determination of parameters that best fit a template curve, such as a quadratic function, to a plurality of measurements, such as data points. Each data point may include a pressure value, and a flow rate value at the pressure value. Parameters from the function may then be applied, such as with a data structure to characterize the system, such as with an identification of the patient interface type from the parameters. In some versions, parameter(s) of operation of the apparatus may be adjusted based on the characterisation, such as by using the parameters of the template.

Abstract: A method for testing lung function of a user donning a user interface includes administering a supplemental breathing test in response to receiving an input from the user selecting the supplemental breathing test. The user interface is coupled, via a conduit, to a respiratory therapy device in a respiratory therapy system. Moreover, the supplemental breathing test is administered by adjusting parameters of the respiratory therapy device. The method also includes receiving first airflow parameter data associated with a first airflow generated by the user. The first airflow is generated by the user into an interior of the user interface while donning the user interface. The method also includes characterizing the lung function of the user based at least in part on the first airflow parameter data.

Abstract: One or more light sensors in an ear-worn device may determine a partial pressure of carbon dioxide in a bloodstream of a patient. A processor of the ear-worn device may determine, based on the partial pressure of carbon dioxide and a threshold, a respiratory pathology of the patient.

Abstract: An ear-worn device may include an accelerometer and/or an electroencephalography (EEG) sensor to provide recommendations based on user activity and/or physiological responses. The ear-worn device may use the accelerometer to capture acceleration data to assess the wearer's movement rate, and detect changes. Using data from the EEG sensor, the processor may detect eyelid blinks and other signals of fatigue. The processor may generate a treatment recommendation based on any combination of the movement rate, changes, eyelid blinks, and/or signals of fatigue.

Abstract: A processor of an ear-worn device such as an earbud may generate a model of an ear canal based at least in part on a soundwave detected by two or more microphone arrays of the earbud. The processor may determine, based on a stored model of the ear canal and the model of the ear canal, a change of a geometry of the ear canal. The processor may determine, based on the change of the geometry of the ear canal, the soundwave and an oxygen saturation value of a bloodstream, a respiratory therapy device being used to treat a pathology. The processor may generate, based on the respiratory therapy device, a therapy recommendation. The recommendation may be outputted on one or more devices.

Abstract: Two or more microphone arrays in an ear-worn device may receive a soundwave, where at least a portion of the soundwave is received via an ear canal of a body. A processor of the ear-worn device may determine, based on the soundwave, a location of an obstructive sleep apnea (OSA) event in an airway of the body.

Abstract: A processor of an ear-worn device such as an earbud may receive acceleration data from an accelerometer of the earbud. The processor may determine a position of a body wearing the earbud based on the acceleration data. The processor may determine a pathology of the body. The processor may generate, based on the position of the body and the pathology, a therapy recommendation. The processor may output an indication of the therapy recommendation via the earbud or one or more other devices.

Abstract: A system and method to determine a sleep disorder in a patient is disclosed. A storage device stores a digital image including a face and a neck of the patient. A database stores previously identified phenotypes and dimensions of facial and neck features. A sleep disorder analysis engine is coupled to the storage device and the database. The sleep disorder analysis engine is operable to identify features of the face and the neck from the image by determining landmarks on the image. The sleep disorder analysis engine classifies at least one phenotype from the image based on comparisons with the database. The sleep disorder analysis engine correlates the at least one phenotype and at least one feature with a sleep disorder. The sleep disorder analysis engine determines a risk score of the sleep disorder based on the correlation of the phenotype and the feature.

Abstract: The present technology is directed to a respiratory pressure therapy system, that includes a plenum chamber pressurisable to a therapeutic pressure above ambient air pressure, a seal-forming structure to form a seal with an entrance to the patient's airways to maintain said therapeutic pressure in the plenum chamber throughout the patient's respiratory cycle in use, a positioning and stabilising structure constructed and arranged to provide an elastic force to hold the seal-forming structure in a therapeutically effective position on the patient's head, a blower configured to generate the flow of air and pressurise the plenum chamber to the therapeutic pressure, the blower having a motor, the blower being connected to the plenum chamber such that the blower is suspended from the patient's head and the axis of rotation of the motor is perpendicular to the patient's sagittal plane, and a power supply configured to provide electrical power to the blower.

Abstract: A method of an apparatus control pressure in the patient interface. A vent valve may be used with a respiratory device, where the vent valve may selectively block fluid communication between components, such as the flow generator, the patient interface, and/or the vent. An expiratory flow model may be used to determine an expiratory characteristic such as an expiratory flow rate or pressure in the patient interface where an indicative measure may not be available. The expiratory flow model may receive inputs based on a measure of the patient's respiration, such as the tidal volume, peak inspiratory flow rate or length of inspiration. The expiratory characteristic may be used by a controller to control a pressure in the patient interface to provide respiratory therapy to a patient at or close to a target pressure.

Abstract: The present technology is directed to a respiratory pressure therapy system, that includes a plenum chamber pressurisable to a therapeutic pressure above ambient air pressure, a seal-forming structure to form a seal with an entrance to the patient's airways to maintain said therapeutic pressure in the plenum chamber throughout the patient's respiratory cycle in use, a positioning and stabilising structure constructed and arranged to provide an elastic force to hold the seal-forming structure in a therapeutically effective position on the patient's head, a blower configured to generate the flow of air and pressurise the plenum chamber to the therapeutic pressure, the blower having a motor, the blower being connected to the plenum chamber such that the blower is suspended from the patient's head and the axis of rotation of the motor is perpendicular to the patient's sagittal plane, and a power supply configured to provide electrical power to the blower.

Abstract: A respiratory pressure therapy (RPT) system may include a housing portion forming a plenum chamber pressurizable to a therapeutic pressure; a seal-forming structure constructed and arranged to with a region of the patient's face; a positioning and stabilising structure constructed and arranged to provide an elastic force to hold the seal-forming structure in a therapeutically effective position on the patient's head; a blower configured to pressurize the plenum chamber to the therapeutic pressure; a vent assembly configured to discharge gas from a plenum chamber to atmosphere; a sensor port positioned downstream of the vent assembly such that the sensor port is in pneumatic communication with the air within the plenum chamber in any position of the vent assembly; and a sensor in pneumatic communication with the air within the plenum chamber via the sensor port.

Abstract: A method of manufacturing a patient interface for sealed delivery of a flow of air at a continuously positive pressure with respect to ambient air pressure to an entrance to the patient's airways includes collecting anthropometric data of a patient's face. Anticipated considerations are identified from the collected anthropometric data during use of the patient interface. The collected anthropometric data is processed to provide a transformed data set based on the anticipated considerations, the transformed data set corresponding to at least one customised patient interface component. At least one patient interface component is modelled based on the transformed data set.

Abstract: A patient interface for sealed delivery of a flow of air to ameliorate sleep disordered breathing may include: a seal-forming structure to form a pneumatic seal with the entrance to the patient's airways; a positioning and stabilising structure to maintain the seal-forming structure in sealing contact with an area surrounding the entrance to the patient's airways; a plenum chamber pressurised at a pressure above ambient pressure in use; a connection port for the delivery of the flow of breathable gas into the patient interface; and a device positioned within a breathing chamber defined, at least in part, by the seal-forming structure and the plenum chamber, wherein the device divides the breathing chamber into a posterior chamber and an anterior chamber, and wherein the device comprises a plurality of apertures such that turbulence of the air in the posterior chamber is less than turbulence in the air in the anterior chamber.

Abstract: Systems or apparatus may be configured with method(s) for hyperarousal disorder such as for determining settings that control respiratory therapy for slowing a patient's breathing. They may be configured to determine an interim target breathing rate less than a current spontaneous rate. They may be configured to derive target inspiratory time and expiratory times based on the interim target breathing rate. They may be configured to compute, with first function(s), a parameter set for generating a variable treatment pressure waveform based on target inspiratory/expiratory times. They may be configured to determine pressure settings by generating the waveform with the computed parameter set and second function(s). They may be configured to reduce the interim target breathing rate in response to a subsequent spontaneous breathing rate slowing down toward the interim target rate. They may be configured to generate feedback such as graphics/sound to provide information to promote slowing of breathing.

Abstract: Techniques for improved machine learning are provided. A set of two-dimensional images of a user is accessed. A three-dimensional mesh depicting a head of the user is generated based on processing the set of two-dimensional images using a machine learning model, where the three-dimensional mesh is scaled to a size of the head of the user. The three-dimensional mesh is modified to remove one or more facial expressions. A set of facial measurements is determined based on the modified three-dimensional mesh, and a user interface is selected for the user based on the set of facial measurements.