Abstract: A blower includes a housing including an inlet and an outlet, a bearing-housing structure provided to the housing and adapted to rotatably support a rotor, a motor provided to the bearing-housing structure and adapted to drive the rotor, and an impeller provided to the rotor. The bearing-housing structure includes a bearing shaft having a bearing surface that rotatably supports the rotor. The bearing shaft provides only a single bearing of the non-ball bearing type for the rotor.

Abstract: A respiratory pressure therapy (RPT) device is disclosed for treatment of respiratory-related disorders. The RPT device includes a pressure generator, a pneumatic block, a chassis and a device outlet for delivering a supply of flow of gas to a patient interface. The RPT device also comprises a humidifier including a water reservoir.

Abstract: A vent arrangement is provided to a mask or associated conduit to discharge exhaled gas from the mask to atmosphere. The vent arrangement is structured to diffuse the exhaust vent flow to produce less air jetting, thereby increasing the comfort of the patient and their bed partner. For example, the vent arrangement may include one or more grill components and/or media constructed and arranged to diffuse vent flow.

Abstract: A respiratory pressure therapy (RPT) device is disclosed for treatment of respiratory-related disorders. The RPT device includes a pressure generator, a pneumatic block, a chassis and a device outlet for delivering a supply of flow of gas to a patient interface. The RPT device also comprises an integrated humidifier including a water reservoir. An RPT device is also disclosed that includes a wireless data communication interface integrated with the housing and configured to connect to another device or a network.

Abstract: A CPAP device for delivering pressurized, humidified breathable gas for a patient includes a flow generator configured to pressurize a flow of breathable gas. The flow generator includes an air outlet and a removable water container configured to humidify the pressurized breathable gas received from the flow generator. The water container includes an air inlet and an air outlet. The CPAP device further includes a first elastomeric face seal configured to sealingly abut against a substantially flat portion of the water container surrounding the water container air inlet, the first elastomeric face seal being located at an intermediate position between the flow generator air outlet and the water container air inlet when the water container is placed into position to pneumatically communicate with the flow generator.

Abstract: A blower comprises a housing, an inlet to receive air, an outlet to deliver a flow of air and a deformable member configured to pump a chamber. The deformable member may be configurable to a first configuration and a second configuration, for example by electrical energy that may be applied as current or voltage. The blower may comprise a plurality of chambers, wherein each chamber may be compressed out of phase with each other, for example such that the flow rate of the generated air flow may not fluctuate as much. In other forms, the blower may comprise a plurality of chambers that vary in size.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training and using machine learning clustering models to determine conditions a satellite communication system. In some implementations, feature vectors for a time period are obtained. Each feature vector includes feature values that represent properties of a satellite communication system at a respective time during the time period. Each feature vector is provided as input to a machine learning model that assigns the feature vector to a based on the properties of the satellite communication system represented by the feature vector. Each cluster corresponds to a respective potential operating condition of the satellite communication system.

Abstract: A personal entertainment respiratory apparatus provides air to a user to provide a fully immersive entertainment experience. The personal entertainment system may comprise a flow generator for providing the flow of air. A personal spatial respiratory interface may be coupled to the flow generator. The personal spatial respiratory interface may comprise an outlet for the flow generator. The personal spatial respiratory interface may further be configured to direct the flow of air within an ambient breathing proximity of a user. The personal entertainment respiratory apparatus may further comprise a controller and a sensory particle dispenser. The controller and sensory particle dispenser may be configured to selectively activate release of a sensory particle from the dispenser into the directed flow of air in response to an entertainment triggering signal.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining availability of network service. In some implementations, a request indicating a location and a communication service level is received. A first subset of service providers or communication technologies is determined based on outputs generated by multiple first machine learning models each trained to predict service availability for different service providers or communication technologies. A second subset is selected from the first subset based on outputs generated by multiple second machine learning models trained to predict availability of different communication service levels for different service providers or communication technologies. At least one service provider or communication technology is selected from the second subset based on output generated by a third machine learning model.

Abstract: Apparatus for generating a supply of air at positive pressure for the amelioration or treatment of a respiratory disorder comprising a housing, a blower structured and configured to produce a flow of air at positive pressure, a flexible connector electrically and physically connected to the blower; and a blower rotation limitation structure configured to reduce rotation of the blower during use. The apparatus may comprise first and second blower suspensions for holding opposite ends of the blower. The blower suspension(s) may be flexible and in tension. The apparatus may comprise one or more connector anchors for anchoring a longitudinal middle section of the flexible connector to another part of the apparatus.

Abstract: Apparatus for providing air at positive pressure for respiratory therapy to a patient includes a pneumatic block including at least first and second blower sub-assemblies and a common chassis assembly configured to support each of the at least first and second blower sub-assemblies. The at least first and second blower sub-assemblies are different structurally from one another in at least one aspect. Each of the at least first and second blower sub-assemblies includes a corresponding blower configured to produce a flow of air at a therapeutic pressure. The common chassis assembly and the first blower sub-assembly form a first configuration of the pneumatic block, and the common chassis assembly and the second blower sub-assembly form a second configuration of the pneumatic block. The air flow path and the chamber arrangement of the first configuration is different than the air flow path and the chamber arrangement of the second configuration.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training and using machine learning models to detect problems in a satellite communication system. In some implementations, one or more feature vectors that respectively correspond to different times are obtained. The feature vector(s) are provided as input to one or more machine learning models trained to receive at least one feature vector that includes feature values representing properties of the satellite communication system and output an indication of potential causes of a condition of the satellite communication system based on the properties of the satellite communication system. A particular cause that is indicated as being a most likely cause of the condition of the satellite communication system is determined based on one or more machine learning model outputs received from each of the one or more machine learning models.

Abstract: A blower for providing a supply of air at positive pressure in the range of approximately 2 cmH2O to 30 cmH2O includes a motor, at least one impeller, and a stationary component. The stationary component includes an inlet and an outlet. The motor, the impeller, the inlet and outlet are co-axial.

Abstract: Methods and systems for spoken language interface for network management are disclosed. In some implementations, data indicating a transcription of a spoken request from a user of a voice-response interface is received. Status information for a communication system is received. The request is interpreted based on the transcription and the status information for the communication system. A response to the request is generated based on the status information for the communication system, and data for a synthesized speech utterance of the response is provided in response to the spoken request.

Abstract: A respiratory apparatus evaluates accuracy of a pressure sensor, such as when only a single pressure sensor is provided. The accuracy of the pressure sensor may be assessed based on pressure measurement obtained from the pressure sensor and a subordinate or secondary characteristic of the respiratory device such as altitude or atmospheric pressure. A controller or processor may calculate the altitude of the respiratory device based in part on the pressure measurement. In some embodiments, the assessment of the pressure sensor may involve an evaluation of the calculated altitude. In some cases, the assessment of the pressure sensor may involve determining an estimated pressure based on a calculated altitude, and comparing the pressure measurement obtained from the pressure sensor with the estimated pressure.

Abstract: A head-mountable flow generator is configured to deliver a flow of breathable gas at a continuously positive pressure with respect to ambient air pressure to a patient interface in communication with an entrance to a patient's airways including at least an entrance of the patient's nares, while the patient is sleeping, to ameliorate sleep disordered breathing. The flow generator includes a motor, an impeller assembly and housing that encases the motor and the impeller assembly. The housing is configured to be mounted on the patient's head and comprises an inlet to receive the flow of breathable gas and a pair of opposing outlets to deliver the flow of breathable gas. In addition, the impeller assembly is configured to pressurize the flow of breathable gas received from the inlet, and the housing is configured to convey the pressurized flow of breathable gas through both outlets.

Abstract: Methods and systems for monitoring a communication network using machine-learning techniques are disclosed. In some implementations, a forecasted amount of traffic for a communication network is determined using one or more network traffic forecasting models being configured to generate the forecasted amount of traffic based on data indicating one or more previous amounts of traffic for the communication network. A measure of network health is generated based on a measured amount of traffic and the forecasted amount of traffic. Data indicating one or more characteristics of the communication network is processed using one or more machine learning models to generate a predicted measure of network health for a future time period. An indication of the predicted measure of network health for the future time period is provided.

Abstract: A blower for providing a supply of air at positive pressure in the range of approximately 2 cm H2O to 30 cm H2O includes a motor, at least one impeller, and a stationary component. The stationary component includes an inlet and an outlet. The motor, the impeller, the inlet and outlet are co-axial.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training and using machine learning clustering models to determine conditions a satellite communication system. In some implementations, feature vectors for a time period are obtained. Each feature vector includes feature values that represent properties of a satellite communication system at a respective time during the time period. Each feature vector is provided as input to a machine learning model that assigns the feature vector to a based on the properties of the satellite communication system represented by the feature vector. Each cluster corresponds to a respective potential operating condition of the satellite communication system.