Patent Document ID: 9189739
Application ID: 13919703
Patent Flag: 1

Claim One:
1. A system for predicting a circadian state of an individual, the system comprising: at least one physiological sensor connected to a processor, wherein the physiological sensor is configured to measure one or more physiological parameters from an individual related to circadian phase, and wherein the processor is configured to perform the steps of: providing a biomathematical model comprising: one or more model variables comprising at least a circadian phase offset model variable representative of a phase offset of the circadian state of the individual, at least one light stimulus model input representative of light stimulus to which the individual is exposed over time, and at least one physiological parameter model input representative of one or more physiological parameters of the individual related to circadian phase; wherein the biomathematical model predicts the change of the circadian phase offset model variable over time based at least in part on light exposure to which the individual is exposed over time using the at least one light stimulus model input, and updates the one more model variables based on the physiological parameter model input; receiving an estimate of the circadian phase offset of the individual corresponding to an initial time; receiving a physiological measurement from the physiological sensors, the physiological measurement comprising: a physiological parameter of the individual related to circadian phase, and a physiological measurement time comprising a time at which the physiological parameter is measured; receiving one or more light stimulus measurements corresponding to light exposure to which the individual is exposed, the light stimulus measurements occurring between the initial time and the physiological measurement time, and wherein each light stimulus measurement comprises: a light stimulus intensity value, and light measurement time comprising a time at which the light stimulus intensity value is measured; predicting a value of the circadian phase offset model variable corresponding to the physiological measurement time by applying the biomathematical model to at least the received estimate of the circadian phase offset corresponding to the initial time and the received one or more light stimulus measurements; and updating the predicted value of the circadian phase offset model variable corresponding to the physiological measurement time by applying the biomathematical model to at least the predicted value of the circadian offset model variable corresponding to the physiological measurement time and the received physiological measurement.