Abstract: A peritoneal dialysis system includes a control unit configured to (i) store a sleep state pattern for the patient, (ii) begin a patient drain followed by a patient fill when at least one sensor indicates that the patient is in a deep sleep state, (iii) extend a dwell period if the sleep state pattern indicates that the patient will enter a subsequent deep sleep state within a first time duration after a programmed dwell period, and (iv) shorten the dwell period if the sleep state pattern indicates that the patient will leave the deep sleep state within a second time duration after an end of the programmed dwell period. The system alternatively or additionally assesses or records a stress level of and/or a fluid/caloric intake by the patient and takes actions accordingly.

Abstract: Systems and methods to provide a training solution for a trainee are disclosed. In some embodiments the method comprises receiving a training requirement comprising a training outcome and a training configuration wherein the training configuration defines a trainee state, determining a training environment based on a relevancy function of the training environment to the training outcome, determining a training content based on a relationship function of the training content to the trainee state and determining a training solution comprising the training environment and the training content. In some embodiments, the relationship function comprises a POMDP model and the relevancy function comprises a best fit curve.

Abstract: Computer implemented systems and methods of communicating a system reaction to environmental input comprising receiving environmental input, determining a hazard state and a user state from the environmental input, determining a system reaction from the hazard state and the user state and communicating the system reaction to a user interface. In some embodiments, the system reaction comprises a system reaction level and in some embodiments the system reaction level corresponds to a stage of automation. In some embodiments, the user interface is a multimodal interface and in some embodiments the user interface is a haptic interface.

Abstract: Systems and methods to provide a training solution for a trainee are disclosed. In some embodiments the method comprises receiving a training requirement comprising a training outcome and a training configuration wherein the training configuration defines a trainee state, determining a training environment based on a relevancy function of the training environment to the training outcome, determining a training content based on a relationship function of the training content to the trainee state and determining a training solution comprising the training environment and the training content. In some embodiments, the relationship function comprises a POMDP model and the relevancy function comprises a best fit curve.

Abstract: Computer implemented systems and methods of communicating a system reaction to environmental input comprising receiving environmental input, determining a hazard state and a user state from the environmental input, determining a system reaction from the hazard state and the user state and communicating the system reaction to a user interface. In some embodiments, the system reaction comprises a system reaction level and in some embodiments the system reaction level corresponds to a stage of automation. In some embodiments, the user interface is a multimodal interface and in some embodiments the user interface is a haptic interface.