Abstract: Systems and methods are disclosed that provide smart alerts to users, e.g., alerts to users about diabetic states that are only provided when it makes sense to do so, e.g., when the system can predict or estimate that the user is not already cognitively aware of their current condition, e.g., particularly where the current condition is a diabetic state warranting attention. In this way, the alert or alarm is personalized and made particularly effective for that user. Such systems and methods still alert the user when action is necessary, e.g., a bolus or temporary basal rate change, or provide a response to a missed bolus or a need for correction, but do not alert when action is unnecessary, e.g., if the user is already estimated or predicted to be cognitively aware of the diabetic state warranting attention, or if corrective action was already taken.

Abstract: In one example of the invention a patient display is provided on which a fixation graphic or video is shown in substantially the center of the display, and then target graphics or video are shown at different positions on the display about the center. A test subject is positioned in front of the patient display a known distance therefrom, and a camera captures an image of the test subject's eyes, to allow gaze direction determination to be performed. The captured images are displayed to a clinician user by a controlling test application, the clinician making a determination based on the images as to whether the test subject saw a target graphic or video when it was displayed. The clinician user then makes an appropriate input into the controlling test application, which also logs the position at which the target image was displayed.

Abstract: In one example of the invention a patient display is provided on which a fixation graphic or video is shown in substantially the centre of the display, and then target graphics or video are shown at different positions on the display about the centre. A test subject is positioned in front of the patient display at a known distance, and a camera captures an image of the test subject's eyes, to allow gaze direction determination to be performed. The captured images are displayed to a clinician user by a controlling test application, the clinician making a determination based on the images as to whether the test subject saw a target graphic or video when it was displayed. The clinician user then makes an appropriate input into the controlling test application, which also logs the position at which the target image was displayed.