Monitors for evaluating airway procedures, particularly in a pre-hospital environment, are described herein. In an example method, an airway parameter of an individual receiving assisted ventilation is detected by an airway sensor. A monitor determines a metric based on the airway sensor. Further, the monitor performs an action based on the metric.

Monitors for evaluating airway procedures, particularly in a pre-hospital environment, are described herein. In an example method, an airway parameter of an individual receiving assisted ventilation is detected by an airway sensor. A monitor determines a metric based on the airway sensor. Further, the monitor performs an action based on the metric.

Adaptive modification and presentment of user interface elements in a computerized therapeutic treatment regimen. Embodiments of the present disclosure provide for non-linear computational analysis of cData and nData derived from user interactions with a mobile electronic device executing an instance of a computerized therapeutic treatment regimen. The cData and nData may be computed according to one or more artificial neural network or deep learning technique to derive patterns between computerized stimuli or interactions and sensor data. Patterns derived from analysis of the cData and nData may be used to define an effort metric associated with user input patterns in response to the computerized stimuli or interactions being indicative of a measure of user engagement or effort. A computational model or rules engine may be applied to adapt, modify, configure or present one or more graphical user interface elements in a subsequent instance of the computerized therapeutic treatment regimen.

Adaptive modification and presentment of user interface elements in a computerized therapeutic treatment regimen. Embodiments of the present disclosure provide for non-linear computational analysis of cData and nData derived from user interactions with a mobile electronic device executing an instance of a computerized therapeutic treatment regimen. The cData and nData may be computed according to one or more artificial neural network or deep learning technique to derive patterns between computerized stimuli or interactions and sensor data. Patterns derived from analysis of the cData and nData may be used to define an effort metric associated with user input patterns in response to the computerized stimuli or interactions being indicative of a measure of user engagement or effort. A computational model or rules engine may be applied to adapt, modify, configure or present one or more graphical user interface elements in a subsequent instance of the computerized therapeutic treatment regimen.

This invention relates to an ingestible drug delivery device configured for wireless communication with other ingestible drug delivery devices.

One variation of a method for delivering a digital medicine experience to a user includes: loading the digital medicine experience at a sensory immersion vessel; calculating a target value of a bioindicator of the physiological state of the user, the target value of the bioindicator corresponding to a target physiological state of the user; at an initial time, rendering sensory representations of a set of elements in a multi-sensory virtual environment within the sensory immersion vessel at an initial progression rate; at a time during the digital medicine experience, succeeding the initial time, measuring a value of the bioindicator; calculating a progression rate through the digital medicine experience based on a difference between the value of the bioindicator and the target value of the bioindicator; and at a second time succeeding the time, rendering sensory representations of the set of elements in the multi-sensory virtual environment at the progression rate.

One variation of a method for delivering a digital medicine experience to a user includes: loading the digital medicine experience at a sensory immersion vessel; calculating a target value of a bioindicator of the physiological state of the user, the target value of the bioindicator corresponding to a target physiological state of the user; at an initial time, rendering sensory representations of a set of elements in a multi-sensory virtual environment within the sensory immersion vessel at an initial progression rate; at a time during the digital medicine experience, succeeding the initial time, measuring a value of the bioindicator; calculating a progression rate through the digital medicine experience based on a difference between the value of the bioindicator and the target value of the bioindicator; and at a second time succeeding the time, rendering sensory representations of the set of elements in the multi-sensory virtual environment at the progression rate.

A pump system is provided comprising a diaphragm fluid pump which can be fluidically connected to a heart and/or at least one blood vessel by means of an inlet cannula and an outlet cannula and is adapted for generating a pulsatile fluid flow for supporting a cardiac activity of the heart, a working pressure source connected to the diaphragm fluid pump by means of a pressure line and adapted for providing a working pressure for driving the diaphragm fluid pump, a control unit adapted for controlling the working pressure, a first flow sensor adapted for detecting a first cannula flow signal corresponding to an inlet flow in the inlet cannula or an outlet flow in the outlet cannula, a working pressure sensor adapted for detecting a working pressure signal corresponding to the working pressure in the pressure line.

An apparatus for calming a baby in an interior of a vehicle has a heartbeat sensor device (11, 12, 13) configured to capture a heartbeat input signal that depends on the heartbeat of an occupant in an interior (18) of a vehicle (10). A heartbeat signal processing device (14) is configured to produce a heartbeat output signal that depends on the heartbeat input signal. A calming signal output device (15, 16, 17) is configured to output a calming signal that depends on the heartbeat output signal and that is perceivable by a baby in the interior (19) of the vehicle (10). The apparatus is to configured to output the calming signal, at least intermittently, directly during the capture of the heartbeat input signal.

An apparatus for calming a baby in an interior of a vehicle has a heartbeat sensor device (11, 12, 13) configured to capture a heartbeat input signal that depends on the heartbeat of an occupant in an interior (18) of a vehicle (10). A heartbeat signal processing device (14) is configured to produce a heartbeat output signal that depends on the heartbeat input signal. A calming signal output device (15, 16, 17) is configured to output a calming signal that depends on the heartbeat output signal and that is perceivable by a baby in the interior (19) of the vehicle (10). The apparatus is to configured to output the calming signal, at least intermittently, directly during the capture of the heartbeat input signal.