Abstract: Methods and systems for recommending at least one patient interface device from among a plurality of patient interface devices for a patient. The methods and systems monitor an initial stress response of the patient upon being exposed to each of the potential patient interface devices of the plurality and from such monitoring select a device or devices that produce lesser stress responses.

Abstract: A system and method for controlling a pulse oximetry sensor. The pulse oximetry sensor is activated and de-activated according to one or more breathing characteristics of a subject's breathing such that the pulse oximetry sensor acquires pulse oximetry data only at times for which the one or more breathing characteristics indicate that oxygen desaturation is likely to occur.

Abstract: According to an aspect, there is provided an apparatus (100) for assessing sleep of a subject, the apparatus comprising a processor (102) configured to: receive data indicative of one or more physiological parameters associated with a subject; determine, based on the data, two or more sleep parameters relating to sleep of the subject; and determine, based on the sleep parameters, whether the subject is suffering from (a) obstructive sleep apnoea, (b) insomnia, (c) comorbid insomnia and obstructive sleep apnoea, or (d) neither obstructive sleep apnoea nor insomnia, wherein a first sleep parameter of the two or more sleep parameters comprises Wakefulness After Sleep Onset for at least X Minutes, WASOXmin, wherein WASOXmin comprises the sum of awakenings with a duration of X minutes or longer during a sleep session, wherein X is equal to, or greater than, 1.

Abstract: According to an aspect, there is provided a computer-implemented method for determining a heart rate of a subject, the method comprising: receiving data representing a signal generated by a pressure sensor configured to be placed on a suprasternal notch of a subject, the data representing a first component of the signal comprising respiratory information associated with the subject and/or a second component of the signal comprising cardiac information associated with the subject; determining, by applying a first algorithm to the data, a respiration parameter of the subject; applying at least one filter to the data to obtain first filtered data, the at least one filter comprising a first filter to attenuate the first component of the signal in the data based on the determined respiration parameter; and determining a heart rate of the subject by applying a second algorithm to the first filtered data.

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: 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: A pressure support system for providing pressure support therapy to a patient, the pressure support device includes an airflow generator structured to generate a flow of breathing gas to the patient, a temperature conditioning unit structured to adjust a temperature of the breathing gas provided to the patient, and a processing unit structured to estimate a core body temperature of the patient for selected times of day based on one or more inputs and to control the temperature conditioning unit to adjust temperature of the breathing provided to the patient at the selected times of day based on the estimated core body temperatures of the patient.

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 system for monitoring the interaction of a mask with a patient's face in real-time during a pressure therapy treatment session and providing recommendations for improving such interaction. A sensing arrangement obtains real-time relative position data regarding the relative position of the mask relative to face of the patient and a computing arrangement in communication with the sensing arrangement for receiving the real-time relative position data from the sensing arrangement. The computing arrangement includes a computational model that uses the real-time relative position data to determine information regarding the interaction between the mask and the face of the patient, and an interpretation and analysis unit that: relates the information regarding the interaction between the mask and the face of the patient to functional parameters, determines actionable information and/or insights to improve the interaction, and provides as output the actionable information and/or insights.

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 system (400) for monitoring an individual's sleep includes: (i) a patient monitor (410) configured to obtain a patient waveform, the patient waveform comprising information representative of a vital statistic of the patient; a processor (420) in communication with the patient monitor and configured to: (i) process the patient waveform to generate a segmented waveform; (ii) extract at least one feature from a segment of the waveform in a time domain and/or at least one feature from the segment of the waveform in the frequency domain; (iii) classify, using the at least one extracted feature, a sleep stage of the patient for the segment of the waveform; and (iv) generate, from classified sleep stages for a plurality of segments of the waveform, a sleep quality measurement; and a user interface (480) configured to report the generated sleep quality measurement.

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 system and method for determining a sleep posture of a subject uses a three-axis accelerometer coupled to the subject. A plurality of three-axis acceleration signals of the three-axis accelerometer are analyzed over time and from this analysis a reference craniocaudal rotation axis is derived. For an acceleration measurement of interest (i.e. at a particular point in time) a rotation angle can then be determined about the reference craniocaudal rotation axis, thus indicating a sleep posture relative to that reference craniocaudal rotation axis.

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: A system for delivering sensory stimulation comprises a sensor configured to measure autonomic nervous system activity information of a user during a sleep session; a sensory stimulator configured to deliver sensory simulation to the user during the sleep session; and a computer system. One or more physical processors of the computer system are programmed with computer program instructions which, when executed cause the computer system to: obtain the autonomic nervous system activity information of the user; determine parasympathetic nervous system information based on the obtained autonomic nervous system activity information of the user; and provide input to the sensory stimulator based on the determined parasympathetic nervous system information, the provided input causing the sensory stimulator to deliver the sensory stimulation to the user based on the determined parasympathetic nervous system information.

Abstract: The present disclosure pertains to a system (10) configured to determine spectral boundaries (216, 218) for sleep stage classification in a subject (12). The spectral boundaries may be customized and used for sleep stage classification in an individual subject. Spectral boundaries determined by the system that are customized for the subject may facilitate sleep stage classification with higher accuracy relative to classifications made based on static, fixed spectral boundaries that are not unique to the subject. In some implementations, the system comprises one or more of a sensor (16), a processor (20), electronic storage (22), a user interface (24), and/or other components.

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 system (400) for monitoring an individual's sleep includes: (i) a patient monitor (410) configured to obtain a patient waveform, the patient waveform comprising information representative of a vital statistic of the patient; a processor (420) in communication with the patient monitor and configured to: (i) process the patient waveform to generate a segmented waveform; (ii) extract at least one feature from a segment of the waveform in a time domain and/or at least one feature from the segment of the waveform in the frequency domain; (iii) classify, using the at least one extracted feature, a sleep stage of the patient for the segment of the waveform; and (iv) generate, from classified sleep stages for a plurality of segments of the waveform, a sleep quality measurement; and a user interface (480) configured to report the generated sleep quality measurement.

Abstract: The present invention relates to a determination system, a corresponding determination method and a computer program for determining a sleep stage of a subject. The determination system comprises a cardiorespiratory signal providing unit (10), an actigraphy data providing unit (20), a first sleep stage determination unit (30) for determining the sleep stage based on a cardiorespiratory signal, and a second sleep stage determination unit (40) for determining the sleep stage based on actigraphy data. The first sleep stage determination unit (30) determines a sleep onset latency (SOL) of the subject. The sleep stage of the subject is determined using the first sleep stage determination unit (30) up to the SOL and the second sleep stage determination unit (40) after the SOL. The determination system and corresponding method allow for a more reliable determination of a sleep stage of subject, in particular improve the determination of the SOL of the subject.