A method for automatically recording circadian rhythm of a user via a portable device includes the steps of obtaining plural usage episodes from screen-on to successive screen-off via a screen of the portable device in an estimated period; classifying plural proactive use episodes and plural reactive use episodes from the plural usage episodes; generating active periods and inactive periods in each day via the plural proactive use episodes; and estimating daily sleep indicators from an evaluation of each of the inactive periods. Therefore, it only needs to estimate the daily sleep indicators of users by using portable devices (specifically for smartphones).

An Adaptive Advisory Control (AA Control) interactive process involving algorithm-based assessment and communication of physiologic and behavioral parameters and patterns assists patients with diabetes with the optimization of their glycemic control. The method and system may uses all available sources of information about the patient; (i) EO Data (e.g. self-monitoring of blood glucose (SMBG) and CMG), (ii) Insulin Data (e.g. insulin pump log files or patient treatment records), and (iii) Patient Self Reporting Data (e.g. self treatment behaviors, meals, and exercise) to: retroactively assess the risk of hypoglycemia, retroactively assess risk-based reduction of insulin delivery, and then report to the patient how a risk-based insulin reduction system would have acted consistently to prevent hypoglycemia.

Methods of enhancing homeostatic capacity in a subject are provided. Aspects of the methods include modulating synchrony, e.g., via modulating communication and/or coordination, among two or more distinct homeostatic systems of the subject in a manner sufficient to enhance homeostatic capacity of the subject. Also provided are devices configured for use in practicing the methods. Aspects of the invention further include methods of treating a subject for a condition via enhancement of homeostatic capacity. The methods and devices described herein find use in a variety of applications.

According to one embodiment, a support system includes a server and a terminal device capable of communicating with the server. The terminal device includes an input circuit configured to receive a first signal which indicates that a user is awake, and a controller coupled to the input circuit and configured to determine to provide support to the user based on the first signal.

Systems and methods are provided for indicating the neuro-cognitive and physiological condition of an animal. A system may comprise a hardware processor; and a non-transitory machine-readable storage medium encoded with instructions executable by the hardware processor to perform a method comprising: collecting physiological data representing one or more physiological indicators of an animal; determining a neuro-cognitive and physiological condition of the animal based on the one or more physiological indicators; and rendering the neuro-cognitive and physiological condition as a human-perceivable representation.

A method of evaluating a physiological aging level includes calculating a complexity corresponding to a change pattern of a physiological parameter sensed from a user, and determining an aging level indicating a physiological change progress of the user based on the complexity.

A computer-implemented method estimates sleep quality of a user. A related computer system, a computer program product, and a data structure are also described. The method includes receiving measurement data measured by at least one sensor device during a time interval; detecting from the measurement data one or more restless sleep signal patterns indicating a restless sleep interval longer than a first threshold duration and computing a number of the detected one or more restless sleep signal patterns; detecting, from the measurement data, one or more continuous sleep intervals not including any one of the one or more restless sleep signal patterns within a time interval longer than a second threshold duration and computing a total length of the one or more continuous sleep intervals; computing a sleep quality metric as a function of the number of the detected one or more restless sleep signal patterns and the total length of the detected one or more continuous sleep intervals, wherein the sleep quality metric indicates a quality of the user's sleep during the time interval; and outputting the sleep quality metric.

Disclosed is a method and an apparatus for detecting stages of sleep of a person. The method includes receiving temperature data and heart rate data of the person, and determining temperature variability on the basis of the temperature data and determining heart rate variability (HRV) on the basis of the heart rate data, and detecting stages of sleep of the person on the basis of the temperature variability and the heart rate variability.

The invention is related to a system and method for determining a physiological condition. The system includes a processor configured to receive, from a first sensor, skin temperature measurements during a first period of time, wherein the first sensor is detachably and thermally coupleable to a user's skin, receive from a second sensor, measurements of ambient temperature during the first period of time, adjust the skin temperature measurements received from the first sensor using the ambient temperature measurements received from the second sensor to reduce ambient influence, receive one or more stored temperature measurements measured for at least a second time period, calculate representative temperature information for the first period of time based on the adjust skin temperature measurements from the first period of time and stored temperature measurements and display the representative temperature information.

A method, computer program product, and computing system for administering an alertness test on a client electronic device to determine a result for a user, wherein the result is indicative of a level of alertness of the user. Biometric information concerning the user may be received from a biometric device. The result for the user may be adjusted based, at least in part, upon the biometric information.