The present invention relates to a system for improving light intake, light exposure, and lifestyle management of a user, which system comprises a measuring device, a control unit, and a receiving device. The invention also related to a method for improving light intake and light exposure of a user.

Aspects of the disclosure relate to circadian rhythm improvement. A computing platform may receive light information from a light sensor device, and user information/desired outcome information from a user device. The computing platform may input, into a model, the light information and the user information, which may cause the model to produce a control signal and a circadian rhythm improvement recommendation. The computing platform may send, to the user device, the circadian rhythm improvement recommendation and commands directing the user device to display the circadian rhythm improvement recommendation, which may cause the user device to display the circadian rhythm improvement recommendation. The computing platform may receive, from the user device, feedback information indicating compliance with the circadian rhythm improvement recommendation, and may refine, using the feedback information, the model.

Temperature data acquired from a wearable device, for example at a user's wrist or within the device itself, can be used as a proxy to evaluate core body temperature changes. Sensor data may be provided to determine a skin temperature of a user and also an internal device temperature. A correlation between these two temperatures may be used to monitor subsequent temperature changes, which may be indicative of changes in the user's core body temperature. Temperature changes to the proxy temperature may be evaluated against a threshold to determine whether the user's core body temperature has also increased, which may be indicative of one or more physiological symptoms or events. Furthermore, additional physiological variables such as respiration rate, nocturnal heart rate, and heart rate variability may be analyzed for early signs of impending illness. A trained machine learning classifier can output the predicted illness status of an individual based on these parameters.

A system, method and apparatus is disclosed, comprising a biomathetical model for optimizing cognitive performance in the face of sleep deprivation that integrates novel and nonobvious biomathematical models for quantifying performance impairment for both chronic sleep restriction and total sleep deprivation; the dose-dependent effects of caffeine on human vigilance; and the pheonotypical response of a particular user to caffeine dosing, chronic sleep restriction and total sleep deprivation in user-friendly software application which itself may be part of a networked system.

Methods for identifying responders to agents that increase brain dopaminergic neuronal activity for the treatment of metabolic and cardiovascular disease and for treating elevated heart rate and metabolic disease or dysglycemia in subjects with type 2 diabetes.

Techniques are disclosed for detecting when a patient is experiencing seasonal affective disorder (SAD). An example computer-implemented method includes determining a status of one or more health metrics for a patient based on sensor data collected from at least one biometric device. The method also includes determining potential sun exposure for a patient based on weather metrics corresponding in time with the health metrics. Additionally, the method includes, when a decline in the status of the health metrics for the patient correlates with declining potential sun exposure, providing an alert indicative that patient is experiencing SAD.

Embodiments generally relate to a system and a machine-readable medium for providing an entrainment experience to a user. The system comprising an experience system in communication with one or more human sensory inputs and an entraining rhythm generation unit. The experience system configured to receive entraining rhythm information from the entraining rhythm generation unit, determine the entrainment experience based on the entraining rhythm information, and provide the entrainment experience to the user via the one or more human sensory inputs.

Embodiments of a method and/or system for characterizing physiological metrics can include: collecting temperature data from a set of temperature sensors associated with at least one heat flux channel of a temperature monitoring device configured to couple to an exterior region of a user; extracting a perfusion parameter based on the temperature data; determining a core body temperature measurement (and/or other suitable physiological metric) based on the perfusion parameter; and/or characterizing a user condition (e.g., fever) based on the core body temperature measurement (and/or other suitable physiological metric).

Disclosed is a method and a system implementing the method for determining an optimal time window for sleep of a person. The method includes receiving samples of a distal skin temperature of the person, and detecting a temperature change pattern in the samples of distal skin temperature. The temperature change pattern indicates a reference point within the circadian rhythm. The optimal time window for sleep is determined on the basis of the indicated reference point. The temperature change pattern is in the form of a drop in the distal skin temperature followed an increase in the distal skin temperature, where the drop and the increase occur within a time window of ten minutes or less.

A sleep medication dispensing system is for controlling release of a sleep medicament to a user based on sleep information related to the user. The system includes an electronic medicament dispensing device with a release mechanism to permit release of a controlled dose of a sleep medication which is stored in a holding area of the device. The system includes a processing arrangement which receives the user sleep pattern information, 5 and performs a release assessment which depends at least in part on the sleep pattern information. Release of a dose of the sleep medication in a given instance is made dependent upon an outcome of the release assessment. 10