A computer-implemented method is disclosed. The computer-implemented method comprises receiving, by a computer system, ingestible event marker (IEM) system information from a receiver worn by a subject, the IEM system information comprising information associated with ingestion of medication by the subject, wherein the receiver is configured to communicate with the computer system; receiving, by the computer system, contextual information associated with the subject; and calculating, by the computer system, a composite risk score based on the IEM system information and the contextual information associated with the subject.

Systems, eye-mountable devices, and methods that facilitate chronotherapeutic treatment of primary open-angle glaucoma are provided which enable therapeutic products to be delivered to the eye in a controlled manner only when desired. According to one embodiment, an eye-mountable device comprises a substrate having an eye-mounting surface for positioning on an eye of a patient, a sensor that obtains a plurality of measurements representative of a condition of the eye of the patient over a period of time, a therapeutic agent delivery assembly coupled, and a processor for executing a temporal model of a therapeutic agent delivery in communication with the sensor and the therapeutic agent delivery assembly. The processor receives the plurality of measurements and activates the therapeutic agent delivery assembly to administer a first amount of a drug to the eye of the patient based on the temporal model associated with the plurality of measurements.

Embodiments are disclosed for a method. The method includes generating statistical models of circadian rhythms based on circadian rhythm data generated by mobile computing devices of occupants of a building having a building automation system. The method also includes identifying room occupants of a room disposed within the building. Additionally, the method includes determining ambient settings for an ambient system operated by the building automation system based on a subset of the statistical models, wherein the subset corresponds to the identified room occupants. The method further includes determining a trade-off ambient setting based on the ambient settings.

A method includes collecting a set of user information, determining a user current performance by: determining a sleep score or debt, measuring the user's previous physical activity, heart rate, or body temperature, calculating weights for the sleep score and the sleep debt, the measured previous physical activity, heart rate, or body temperature, calculating a weighted sum of the weighted sleep score, the weighted sleep debt, the weighted user's previous physical activity, weighted heart rate, or weighted body temperature, setting a user target level of performance, measuring a circadian rhythm and a user's duration of sleep or sleep cycle, comparing the circadian rhythm, the duration of sleep or sleep cycle, the current performance level, and current time zone information over days to determine a separate user performance level, comparing the target level of performance to the separate user performance level, and providing an alert and feedback user related to the comparison.

Disclosed are a parameter determination method and a parameter determination apparatus, relating to the field of medical data processing technologies. The parameter determination method includes determining, based on a first time interval, a first parameter set corresponding to a subject to be tested, where the first time interval includes a nighttime interval, the first parameter set includes a first heart-rate characterization parameter and a first heart-rate variability characterization parameter; and determining, based on a second time interval, a second parameter set corresponding to the subject to be tested, where the second time interval includes a daytime interval, the second parameter set includes a second heart-rate characterization parameter and a second heart-rate variability characterization parameter. The disclosure reduces an effect of interference factors in a measurement process, improving accuracy and over-time comparability of parameter set. The characterization accuracy and over-time comparability characterizing a level of neurohormone may be effectively improved.

Methods, systems, and devices for determining a circadian rhythm chronotype are described. A system may be configured to receive a first set of physiological data collected over a period of time and receive a second set of physiological data collected over a previous sleep day. Additionally, the system may be configured to classify, using a machine learning model, the first set of physiological data into the circadian rhythm chronotype. The system may then compare the determined circadian rhythm chronotype and the received second set of physiological data. The system may cause a graphical user interface of the user device to display a message associated with the comparison, the determined circadian rhythm chronotype, the received second set of physiological data, or a combination thereof.

A lighting system with a multispectral circadian rhythm lighting scenario, which performs lighting by the following procedures, the procedures include: downloading the multispectral circadian rhythm lighting scenario database from a portable communication device to the cloud through the Internet; the portable communication device selects a multispectral lighting parameter and a circadian rhythm parameter from the multispectral circadian rhythm lighting scenario database to start the light-emitting device to control the illuminator to perform lighting; after the blood or saliva test of the light control subjects, the psychological stress index values of the illuminator were obtained; the portable communication device or the management control module transmits the circadian rhythm parameters and psychological stress index values to the cloud.

Systems and methods for monitoring sleep are disclosed. According to an aspect, a method includes emitting light into tissue. The method also includes detecting light backscattered from the tissue. Further, the method includes determining a sleep pattern based on the backscattered light.

In one embodiment, a method comprising: (a) receiving a set of physiological data associated with at least one health condition of an animal subject; (b) receiving a set of environmental data associated with one or more environment conditions to which the subject is or has been exposed; (c) determining a set of operating parameters for at least one environmental device based at least partially on at least a portion of the set of physiological data and at least a portion of the set of environmental data; and (d) transmitting the set of operating parameters to the at least one environmental device to at least partially control at least one controlled environmental condition to which the subject is exposed to thereby at partially control the at least one health condition.

An embodiment of a method for assessing cardiovascular disease in a user with a body region using a mobile computing device including a camera module, includes receiving a time series of image data of a body region of the user, the time series of image data captured during a time period; generating a photoplethysmogram dataset from the time series of image data; generating a processed PPG dataset; determining a cardiovascular parameter value of the user based on the processed PPG dataset; fitting a chronobiological model to (1) the cardiovascular parameter value, and (2) a subsequent cardiovascular parameter value, characterizing a cardiovascular parameter variation over time of the user based on the fitted chronobiological model; and presenting an analysis of the cardiovascular parameter variation to the user at the mobile computing device.