Abstract: Some systems, devices and methods detailed herein provide a system for use in determining metrics of a subject. The system can provide, as an output, a function-metric value determined based on a defined relationship between physiological measures and a chronological age.

Abstract: Sleep performance systems and methods of using the same are disclosed. The sleep performance systems can improve the quality of sleep by making one or more recommendations to the subject for increasing a sleep quality score. The sleep performance systems can have one or more electroencephalography (EEG) electrodes configured to measure a subject’s brain activity during sleep. The sleep performance systems can have a processor configured to quantify the quality of the subject’s slow-wave sleep by determining one or more sleep performance scores associated with the measured brain activity. The sleep performance systems can recommend and/or activate sleep improvement programs based on various threshold scores.

Abstract: Sleep performance systems and methods of using the same are disclosed. The sleep performance systems can improve the quality of sleep by making one or more recommendations to the subject for increasing a sleep quality score. The sleep performance systems can have one or more electroencephalography (EEG) electrodes configured to measure a subject's brain activity during sleep. The sleep performance systems can have a processor configured to quantify the quality of the subject's slow-wave sleep by determining one or more sleep performance scores associated with the measured brain activity. The sleep performance systems can recommend and/or activate sleep improvement programs based on various threshold scores.

Abstract: Sleep performance systems and methods of using the same are disclosed. The sleep performance systems can improve the quality of sleep by making one or more recommendations to the subject for increasing a sleep quality score. The sleep performance systems can have one or more electroencephalography (EEG) electrodes configured to measure a subject's brain activity during sleep. The sleep performance systems can have a processor configured to quantify the quality of the subject's slow-wave sleep by determining one or more sleep performance scores associated with the measured brain activity. The sleep performance systems can recommend and/or activate sleep improvement programs based on various threshold scores.

Abstract: Provided is a method and system to predict a sleep apnea event based upon a sequence of sleep events and mitigate the deleterious effects such an event may have on a person. Some embodiments receive a sequence of sleep events from sensors taking physiological measurements of a person sleeping. These sleep events are compared against grouped sleep apnea events previously gathered from other sleepers with a similar sleep architecture to predict if the person is likely to have a sleep apnea event within an apnea prediction window. If a similar pattern is found, the method sends a sleep apnea warning event responsive to the requested comparison indicating that the person sleeping is likely to experience an imminent sleep apnea event. Various types of sleep entrainment operations may be performed to rouse the person from the sleep to sufficiently to mitigate potential harm from the imminent sleep apnea event.

Abstract: Large groups of Web ads may, at least in part, be approved automatically. A subset of a group of ads is selected, and a manual review process is used to determine which ads in the subset are not acceptable, and perhaps the reasons for the disapprovals. A distrust score may then be determined using the ads in the subset that were disapproved. The distrust score may also use the reasons for disapproval. The distrust score may then be compared with a predetermined threshold. If the distrust score is less than the threshold, the ads in the group may be accepted. If the distrust score is equal to or greater than the threshold, the ad group is not automatically accepted.

Abstract: Large groups of Web ads may, at least in part, be approved automatically. A subset of a group of ads is selected, and a manual review process is used to determine which ads in the subset are not acceptable, and perhaps the reasons for the disapprovals. A distrust score may then be determined using the ads in the subset that were disapproved. The distrust score may also use the reasons for disapproval. The distrust score may then be compared with a predetermined threshold. If the distrust score is less than the threshold, the ads in the group may be accepted. If the distrust score is equal to or greater than the threshold, the ad group is not automatically accepted.