Systems, devices, and techniques are disclosed for administering and tracking medicine to patients and providing health management capabilities for patients and caregivers. In some aspects, a system includes an injection pen device including a dose setting mechanism, a dispensing mechanism, and an electronics unit to generate dose data associated with a dispensing event of a dose of the medicine dispensed from the injection pen device and time data associated with the dispensing event; a mobile device in wireless communication to receive and process the dose data; and a software application configured to determine a recommended dose based on health data and contextual data associated with a user of the injection pen device, the software application including a learning dose calculator module to adaptively calculate the recommended dose of the medicine based on time-relevant and circumstances-relevant data specific to the user of the injection pen device.

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.

A fluid separation device includes a centrifuge in which a fluid is separated into at least two components, with an interface therebetween. At least a portion of one of the separated fluid components is removed from the centrifuge and flows through a vessel. Light is reflected off of the separated fluid component in the vessel and received and analyzed to determine its main wavelength. If the main wavelength is higher than a maximum value, a target location of the interface is changed. If the main wavelength is less than the maximum value, then the location of the interface is compared to the target location. When the interface is sufficiently close to the target location, the optical density of the separated fluid component in the vessel is compared to a minimum value. If the optical density is less than the minimum value, the target location of the interface is changed.

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 fluid injection system including a graphical user interface, a fluid control module operatively connected to the graphical user interface, a monitoring control module provided in at least one of the graphical user interface and the fluid control module, a fluid injector operatively connected to the graphical user interface and the fluid control module, at least one fluid path set in fluid communication with the fluid control module, and a hemodynamic monitoring system operatively connected to the fluid path set and the monitoring control module. The hemodynamic monitoring system may be configured to receive electrical signals regarding pressure waves formed in medical fluid directed through the fluid path set based on a location of the fluid path set in a patient's vasculature, to convert the electrical signals to pressure wave form information, and to send the pressure wave form information to the monitoring control module.

A sublingual type medication delivery device includes a container body having a predetermined volume of solvent with a spray dispenser attached at one end of the container and at the opposite end of the container is a housing which contains medication to be discharged into the container and mixed with the solvent to form a diluted medication for fractional delivery of the medication over a period of time. The housing can either be a tablet crusher for introducing medicament in solid form into the container or the housing can be a capsule having liquid medicament that is delivered through a needle that pierces the capsule wall.

The present invention provides systems, methods, and articles for stress reduction and sleep promotion. A stress reduction and sleep promotion system includes at least one remote device, at least one body sensor, and at least one remote server. In other embodiments, the stress reduction and sleep promotion system includes machine learning.