Abstract: Systems and methods permit generation of a digital scan of a user's face such as for obtaining of a patient respiratory mask, or component(s) thereof, based on the digital scan. The method may include: receiving video data comprising a plurality of video frames of the user's face taken from a plurality of angles relative to the user's face, generating a three-dimensional representation of a surface of the user's face based on the plurality of video frames, receiving scale estimation data associated with the received video data, the scale estimation data indicative of a relative size of the user's face, and scaling the digital three-dimensional representation of the user's face based on the scale estimation data. In some aspects, the scale estimation data may be derived from motion information collected by the same device that collects the scan of the user's face.

Abstract: Components may modify an audio input signal to produce an output audio signal. The audio input signal is firstly rectified and sent to the peak detector as an input control signal. The peak detector produces a peak value which correlates to the level of the input control signal. The control signal is then sent from the peak detector to a dynamic curve module, which has two user selectable inputs: a threshold level and a knee/dynamic angle. The control signal is then sent from the dynamic curve module to the signal dynamics processor. This processor is then configurable to modify the control signal by applying an attack and release phase waveform to elements of the signal which exceed the threshold set by the user. The user will have selected the release time and the release phase shape prior to use of the processor. The release shape is selected by the user.

Abstract: Apparatus and methods automate selection of patient interface(s) according to their size, such as with processing in a processor(s) or in a server(s). Image data captured by an image sensor may be received. The captured image data may contain facial feature(s) of an intended user of the patient interface. The facial features may be captured in association with a predetermined reference feature of known dimension(s). The user's facial feature(s) and the reference feature may be detected in the captured image data. Image pixel data of the image may be processed to measure an aspect of the detected facial feature(s) based on the reference feature. A patient interface size may be detected from standard patient interface sizes based on a comparison between the measured aspect of the facial feature(s) and a data record relating sizing information of the standard patient interface sizes and the measured aspect of the facial feature(s).

Abstract: Systems and methods permit generation of a digital scan of a user's face such as for obtaining of a patient respiratory mask, or component(s) thereof, based on the digital scan. The method may include: receiving video data comprising a plurality of video frames of the user's face taken from a plurality of angles relative to the user's face, generating a three-dimensional representation of a surface of the user's face based on the plurality of video frames, receiving scale estimation data associated with the received video data, the scale estimation data indicative of a relative size of the user's face, and scaling the digital three-dimensional representation of the user's face based on the scale estimation data. In some aspects, the scale estimation data may be derived from motion information collected by the same device that collects the scan of the user's face.

Abstract: Apparatus and methods automate selection of patient interface(s) according to their size, such as with processing in a processor(s) or in a server(s). Image data captured by an image sensor may be received. The captured image data may contain facial feature(s) of an intended user of the patient interface. The facial features may be captured in association with a predetermined reference feature of known dimension(s). The user's facial feature(s) and the reference feature may be detected in the captured image data. Image pixel data of the image may be processed to measure an aspect of the detected facial feature(s) based on the reference feature. A patient interface size may be detected from standard patient interface sizes based on a comparison between the measured aspect of the facial feature(s) and a data record relating sizing information of the standard patient interface sizes and the measured aspect of the facial feature(s).

Abstract: Components may modify an audio input signal to produce an output audio signal. The audio input signal is firstly rectified and sent to the peak detector as an input control signal. The peak detector produces a peak value which correlates to the level of the input control signal. The control signal is then sent from the peak detector to a dynamic curve module, which has two user selectable inputs: a threshold level and a knee/dynamic angle. The control signal is then sent from the dynamic curve module to the signal dynamics processor. This processor is then configurable to modify the control signal by applying an attack and release phase waveform to elements of the signal which exceed the threshold set by the user. The user will have selected the release time and the release phase shape prior to use of the processor. The release shape is selected by the user.

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 modeled based on the transformed data set.

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: The present invention provides an implantable bioreactor comprising cells enclosed within an enclosure, said cells being capable of producing paracrine factors, wherein the enclosure is collapsible or expandable or both or neither, wherein the enclosure is semipermeable such that it provides containment of the cells preventing the egress of the cells while further providing a barrier that shields the cells from immunological attack, and wherein the enclosure is permeable to the entire secretome of the cell including exosomes, nucleic acids and proteins. The implantable bioreactor can have various configurations and can house internally a cell culture matrix than can include hydrogels, microbeads, and nanofiber matrices along with other active agents.

Abstract: A method for promoting healing of tissue by delivering a bioreactor into a subject is provided. The bioreactor is an enclosed housing with paracrine factor producing cells enclosed within the housing. The housing is impermeable to the paracrine factor producing cells, impermeable to immunological cells outside of the housing, and permeable to paracrine factors produced by the paracrine factor producing cells. The paracrine factors produced by the paracrine factor producing cells are released out of the housing to promote healing of the tissue.

Abstract: The present application relates to systems and methods for non-invasively determining at least one of left ventricular end diastolic pressure (LVEDP) or pulmonary capillary wedge pressure (PCWP) in a subject's heart, comprising: receiving, by a computer, a plurality of signals from a plurality of non-invasive sensors that measure a plurality of physiological effects that are correlated with functioning of said subject's heart, said plurality of physiological effects including at least one signal correlated with left ventricular blood pressure and at least one signal correlated with timing of heartbeat cycles of said subject's heart; training a machine learning model on said computer using said plurality of signals for periods of time in which said plurality of signals were being generated during a heart failure event of said subject's heart; determining said LVEDP or PCWP using said machine learning model at a time subsequent to said training and subsequent to said heart failure event.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for workforce planning.

Abstract: Presented herein are techniques for monitoring the physical state of a stimulating assembly to, for example, detect the occurrence of an adverse event. More specifically, an elongate stimulating assembly comprising a plurality of longitudinally spaced contacts is at least partially implanted into a recipient. Electrical measurements are performed at one or more of the plurality of contacts and the electrical measurements are evaluated relative to one another to determine the physical state of the stimulating assembly.

Abstract: Presented herein are techniques for monitoring the physical state of a stimulating assembly to, for example, detect the occurrence of an adverse event. More specifically, an elongate stimulating assembly comprising a plurality of longitudinally spaced contacts is at least partially implanted into a recipient. Electrical measurements are performed at one or more of the plurality of contacts and the electrical measurements are evaluated relative to one another to determine the physical state of the stimulating assembly.

Abstract: A method of making a supported catalytic species comprising an alloy of at least two metals, comprises the steps of: (i) combining a particulate support material, a solution of a first metal compound, a solution of a second metal compound, and a solution of an alkaline precipitating agent to form a slurry mixture; (ii) agitating the resultant mixture; and (iii) contacting the solids with a reducing agent, wherein the first metal in the first metal compound and the second metal in the second metal compound is each independently selected from the group consisting of gold, palladium, platinum, rhodium, iridium, silver, osmium and ruthenium; and wherein the first metal is not the same as the second metal.

Abstract: A method for promoting healing of tissue by delivering a bioreactor into a subject is provided. The bioreactor is an enclosed housing with paracrine factor producing cells enclosed within the housing. The housing is impermeable to the paracrine factor producing cells, impermeable to immunological cells outside of the housing, and permeable to paracrine factors produced by the paracrine factor producing cells. The paracrine factors produced by the paracrine factor producing cells are released out of the housing to promote healing of the tissue.

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: Systems and methods permit generation of a digital scan of a user's face such as for obtaining of a patient respiratory mask, or component(s) thereof, based on the digital scan. The method may include: receiving video data comprising a plurality of video frames of the user's face taken from a plurality of angles relative to the user's face, generating a three-dimensional representation of a surface of the user's face based on the plurality of video frames, receiving scale estimation data associated with the received video data, the scale estimation data indicative of a relative size of the user's face, and scaling the digital three-dimensional representation of the user's face based on the scale estimation data. In some aspects, the scale estimation data may be derived from motion information collected by the same device that collects the scan of the user's face.

Abstract: Systems and methods permit generation of a digital scan of a user's face such as for obtaining of a patient respiratory mask, or component(s) thereof, based on the digital scan. The method may include: receiving video data comprising a plurality of video frames of the user's face taken from a plurality of angles relative to the user's face, generating a three-dimensional representation of a surface of the user's face based on the plurality of video frames, receiving scale estimation data associated with the received video data, the scale estimation data indicative of a relative size of the user's face, and scaling the digital three-dimensional representation of the user's face based on the scale estimation data. In some aspects, the scale estimation data may be derived from motion information collected by the same device that collects the scan of the user's face.