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.

In an emotion stabilization support device including a portable vibration generator including an oscillator (36), a motion sensor (37), and a control unit (31), the control unit (31) causes the oscillator (36) to intermittently vibrate, and the control unit (31) measures a state of the portable vibration generator detected by the motion sensor (37) and determines a state of an emotion of a user.

A breathing assistance apparatus and method of controlling a breathing assistance apparatus is disclosed. Particularly, the breathing assistance apparatus is controlled such that it has a drying cycle to enable drying of the tubing that supplies gases to a user and prevent the harbouring of pathogens within the tube. The drying cycle is preferably operated automatically by internal controllers in the apparatus. However, it may be manually activated by pressing a button on the apparatus. The drying cycle is preferably activated at the end of a user's treatment session.

A system is disclosed that includes a breathing apparatus, a display unit and a processing unit that is operatively connected to the display unit. The processing unit is configured to provide a graphical visualization on the display unit. The graphical visualization in turn includes a combination of a target indication for at least one ventilation related parameter of a ventilation strategy for a patient ventilated by the apparatus, and a reciprocating animation of the at least one ventilation related parameter relative the target indication. The target indication is for instance based on input of a user, such as an operator of the breathing apparatus. Alternatively, or in addition, it may be a default value stored on a memory unit being operatively connected to the processing unit. Alternatively, or in addition, the target indication is based on a measurement value of said patient's physiology or anatomy. In this manner, the system informs clinicians in a clear and easily understandable way how a current patient ventilation is related to a chosen ventilation strategy.

Ventilation system (having a ventilator and having a diagnostic device, wherein the ventilator comprises a ventilation unit for generating a respiratory gas flow for ventilation and a detection unit (for detecting a ventilation signal characteristic for the respiratory gas flow over time. The diagnostic device comprises a sensor unit for detecting a diagnostic signal over time. The synchronization unit is operationally connected to the detection unit and the sensor unit and is suitable and configured for studying a time curve of the ventilation signal and a time curve of the diagnostic signal respectively for a signal change caused by the same event and bringing the curve of the ventilation signal and the curve of the diagnostic signal into chronological correspondence so that the event occurs simultaneously in both signal curves.

A bed has a mattress. A sensor system is configured to sense at least one physical phenomenon through a sleep session. A controller may include at least one processor and memory, the controller configured to receive, through the sleep session, the sensor data; select, from a plurality of optional algorithms, a selected algorithm based on at least one of the sensor data, user input, and checking a clock, where the optional algorithms include (i) a state-based algorithm and (ii) a schedule-based algorithm; update, through the sleep session, using the selected algorithm, a current sleep state of the sleeper; track the sleep session based on the update of the current sleep state of the sleeper through the sleep session; update, through the sleep session, using the tracking of the sleep session, a target environmental-parameter; and send, through the sleep session, automation instructions to an environmental controller.

A bed has a mattress. A sensor system is configured to sense at least one physical phenomenon through a sleep session. A controller may include at least one processor and memory, the controller configured to receive, through the sleep session, the sensor data; select, from a plurality of optional algorithms, a selected algorithm based on at least one of the sensor data, user input, and checking a clock, where the optional algorithms include (i) a state-based algorithm and (ii) a schedule-based algorithm; update, through the sleep session, using the selected algorithm, a current sleep state of the sleeper; track the sleep session based on the update of the current sleep state of the sleeper through the sleep session; update, through the sleep session, using the tracking of the sleep session, a target environmental-parameter; and send, through the sleep session, automation instructions to an environmental controller.

Methods, apparatuses, and systems for determining a correlation between intraperitoneal pressure (“IPP”) measurements and patient intraperitoneal volume (“IPV”) are disclosed. In an example, an apparatus is configured to determine a maximum fill volume of dialysate to be pumped into a peritoneal cavity of a patient. The apparatus also determines a plurality of iterations to achieve the maximum fill volume and a volume of the dialysate to be pumped for each of the iterations. For each iteration, the apparatus causes a dialysis machine to pump the dialysate to the peritoneal cavity based on the determined volume for that iteration, records IPP measurement output data from a pressure sensor, records or determines a total accumulated fill volume, and creates a data point for a personalized patient model corresponding to a correlation between the IPP measurement output data and the total accumulated fill volume.

A patient interface comprising a cushion having a nasal plenum chamber, an oral plenum chamber, and a passage formed between the nasal and oral plenum chambers. The passage is configured to allow airflow to pass between the nasal and oral plenum chambers. The cushion also includes a valve including valve body and an adjustment structure that is positioned between the nasal chamber and the oral chamber and is movable relative to the valve body. The adjustment structure is movable between an open position that is configured to allow airflow between the nasal plenum chamber and the oral plenum chamber, and a closed position configured to limit airflow between the nasal plenum chamber and the oral plenum chamber. The adjustment structure is configured to allow airflow through a nasal vent in the closed position and is configured to limit airflow through the nasal vent in the open position.

A patient interface comprising a cushion having a nasal plenum chamber, an oral plenum chamber, and a passage formed between the nasal and oral plenum chambers. The passage is configured to allow airflow to pass between the nasal and oral plenum chambers. The cushion also includes a valve including valve body and an adjustment structure that is positioned between the nasal chamber and the oral chamber and is movable relative to the valve body. The adjustment structure is movable between an open position that is configured to allow airflow between the nasal plenum chamber and the oral plenum chamber, and a closed position configured to limit airflow between the nasal plenum chamber and the oral plenum chamber. The adjustment structure is configured to allow airflow through a nasal vent in the closed position and is configured to limit airflow through the nasal vent in the open position.