Abstract: According to an aspect, there is provided a computer-implemented method (100) for assessing a subject's adherence to a treatment for a condition, the method comprising receiving (102) adherence data indicative of the subject's past adherence to the treatment; receiving (104) medical data indicative of physiological details and a medical history of the subject; determining (106), based on the received adherence data, a non-adherence risk score indicative of a likelihood that the subject will not adhere to the treatment within a defined time period in the future; determining (108), based on the medical data, an adverse event risk score indicative of a likelihood that the subject will experience an adverse medical event; determining (110), based on the non-adherence risk score and the adverse event risk score, a priority classification to be assigned to the subject; and generating (122), based on the priority classification, an instruction signal to be delivered to a recipient

Abstract: A system and method for generating a non-linear model of the airway of a sleeping subject is provided. The system comprises an interface adapted to obtain an airway model configured to represent respiratory airflow in the airway of the subject; a movement sensor arrangement configured to detect movement of the chest or abdomen of a subject; an airflow sensor arrangement configured to detect an airflow in the airway of the subject; and a processor arrangement. The processor arrangement is configured to determine a movement pattern from detected movement of the chest or abdomen of the subject; determine an airflow pattern from detected airflow in the airway of the subject and modify the airway model based on the movement pattern and the airflow pattern so as to generate a subject-specific piecewise linearized non-linear airway model for the subject representing respiratory airflow in the airway of the subject in a sleep state.

Abstract: An apparatus for controlling positioning of a subject's jawbone including an expandable device expandable to apply a force on the subject's jawbone in a direction of an anterior position with respect to a subject's skull; a mounting device holding the expandable device in proximity to the subject's jawbone to facilitate application of the force on the subject's jawbone and configured to position the expandable device behind the subject's jawbone such that application of the force on the subject's jawbone rotates the subject's jawbone relative to the subject's skull towards the anterior position; and a control system configured to control the force in response to the control system receiving an indication of a change in at least one of: an oxygen level of the subject; a gas flow rate of therapy gas supplied to the subject; a position and/or orientation of the subject; and/or a sleep state of the subject.

Abstract: The present invention relates to a method for screening cardiac conditions of a patient, the method comprising the following steps: calculating (S1) a cardiac risk value based on therapy sensor data by means of a first level of a multi-level procedure, wherein the therapy sensor data is provided from a first data source as sensor data during a therapy of the patient; and refining (S2) the calculated cardiac risk value based on survey data and/or device data by means of a second level of a multi-level procedure to provide a refined cardiac risk value, wherein the survey data and/or the device data is provided from a second data source by incremental data gathering.

Abstract: In an embodiment, a control system is described. The control system controls a respiratory support system for supplying therapy gas to a subject. The control system comprises processing circuitry communicatively coupled to an interface for receiving an indication of a combination of the subject's head orientation and torso orientation. The indication is based on orientation data provided by a sensing system configured to detect the subject's head orientation and torso orientation. The control system further comprises a machine-readable medium storing instructions. When executed by the processing circuitry, the instructions cause the processing circuitry to identify, from parameter information associated with each of a set of different combinations of head orientation and torso orientation, a parameter value of the therapy gas for the respiratory support system to use in supplying the therapy gas to the subject for the indicated combination of the subject's head orientation and torso orientation.

Abstract: A method and system for diagnosing, treating, and ameliorating sleep bruxism events using a positive airway pressure (PAP) system for treating obstructive sleep apnea to concurrently recognize bruxism events. At least one sensor is integrated into a therapy interface and/or headgear to detect physiological signals indicative of bruxism. In some exemplary embodiments, a loudspeaker and microphone are integrated into the interface, either near the nose or near the mouth of the patient. When integrated near the nose, the pair is used for acoustical rhinometry, and when integrated near the mouth, the pair is used for acoustical pharyngometry. In other exemplary embodiments, sound or vibration sensors are used to detect signals indicative of teeth grinding. In response to sensor detection of bruxism activity, the PAP system controller adjusts the PAP therapy settings or proposes alternative treatment modalities in order to stop or prevent bruxism events.

Abstract: The present disclosure describes a sleep staging system. The system comprises: one or more sensors configured to generate output signals conveying information related to breathing parameters of subject during a respiratory therapy session; and one or more physical computer processors configured by computer readable instructions to: determine, based on the output signals, one or more breathing features of individual breaths of the subject; determine a distribution of the one or more breathing features over a plurality of time windows, at least one of the time windows having a length of at least 60 seconds; determine sleep states of the subject by mapping the distribution of the breathing features to one or more sleep states using a sleep stage classifier model, the sleep stage classifier model configured to determine the sleep states; and provide feedback indicating the sleep states during the respiratory sleep session.

Abstract: A ventilation apparatus has a breathing gas delivery system for delivering breathing gas to a user of the apparatus as ventilation therapy, with a controllable pressure and flow. The breathing pressure and flow are monitored to derive a respiration variability. A state of relaxation of the user is derived during provision of breathing assistance based on at least the respiration variability. Settings of the ventilation apparatus are then adapted dependence on the estimated state of relaxation for assisting the user in habituating to the breathing assistance, and hence habituating to breathing therapy.

Abstract: A sleep therapy system comprises a sensor arrangement for detecting physiological parameters of a subject, a detection system for detecting a sleeping position of the subject and an alert system for instructing a change in sleep position of the subject. From the monitored physiological parameters, fluid accumulation is identified in a region of the body of the subject. The alert system is controlled to instruct a change in sleep position thereby to reverse the fluid accumulation.

Abstract: A sleep monitoring system has a movement sensing arrangement and a controller for identifying from the movement sensing arrangement output signals sleep-disordered breathing events. Seismocardiography signals are recorded and analyzed to determine repetitive patterns, from which an inter-beat interval time series is derived without identifying specific elements of the repetitive patterns. The sleep-disordered breath events are derived from the inter-beat interval time series. In this way, SCG signals can be used for sleep monitoring in a robust and reliable way.

Abstract: The present invention relates to a device, system and method for monitoring a subject. To obtain increased performance at reasonable cost and complexity, the device comprises an input interface (81) configured to obtain image data acquired over time by an imaging unit from a field of view containing at least part of a subject, a monitoring signal determination unit (82) configured to determine a monitoring signal from the obtained image data of the subject, a processing unit (83) configured to evaluate the image data to determine the spatial configuration of the subject with respect to the imaging unit and to generate a feedback signal for providing feedback about the determined spatial configuration, wherein the feedback signal is configured to control a projection unit (9) to indicate through illumination of the field of view if the spatial configuration can be maintained or shall be changed, and an output interface configured to output the feedback signal.

Abstract: The present disclosure describes a sleep staging system. The system comprises: one or more sensors configured to generate output signals conveying information related to breathing parameters of subject during a respiratory therapy session; and one or more physical computer processors configured by computer readable instructions to: determine, based on the output signals, one or more breathing features of individual breaths of the subject; determine a distribution of the one or more breathing features over a plurality of time windows, at least one of the time windows having a length of at least 60 seconds; determine sleep states of the subject by mapping the distribution of the breathing features to one or more sleep states using a sleep stage classifier model, the sleep stage classifier model configured to determine the sleep states; and provide feedback indicating the sleep states during the respiratory sleep session.

Abstract: The present disclosure describes a sleep staging system. The sleep staging system comprising: one or more sensors configured to generate output signals conveying information related to one or more breathing parameters of subject; and one or more physical computer processors operatively connected with the one or more sensors, the one or more physical computer processors configured by computer readable instructions to: determine, based on the output signals, one or more breathing features of individual breaths of the subject; determine a distribution of the one or more breathing features over one or more time windows; detect presence of a breathing event based on the output signals; determine sleep states of the subject with a sleep stage classifier model based upon the distribution of the breathing features and the one or more breathing events; and provide feedback indicating the sleep states.