Systems and methods are provided for non-invasive measurement of endogenous S-nitrosothiols and related measurements thereof. One or more sensors non-invasively measures a set of one or more biometric parameters within a region of interest of a subject to provide a time series of measurements for each of the set of biometric parameters. A medium stores machine-readable instructions that are executable by an associated processor to perform processing comprising receiving the time series of measurements of the biometric parameter, generating, using a predictive model, a value representing an endogenous S-nitrosothiol content of tissue within the region of interest from the time series of measurements of the biometric parameter, and providing, by a user interface, the value representing the endogenous S-nitrosothiol content of tissue within the region of interest to a user.

Athletic activity may be tracked while providing encouragement to perform athletic activity. For example, energy expenditure values and energy expenditure intensity values may be calculated and associated with a duration and type of activity performed by an individual. These values and other movement data may be displayed on an interface in a manner to motivate the individual and maintain the individual's interest. The interface may track one or more discrete “sessions”. The sessions may be associated with energy expenditure values during a duration that is within a second duration, such as a day, that is also tracked with respect to variables, such as energy expenditure. Other individuals (e.g., friends) may also be displayed on an interface through which a user's progress is tracked. This may allow the user to also view the other individuals' progress toward completing an activity goal and/or challenge.

The present disclosure provides systems and methods for predicting a disease state of a subject using ultrasound imaging and ancillary information to the ultrasound imaging. At least two quantitative measurements of a subject, including at least one measurement taken using ultrasound imaging, as part of quantified information can be identified. One of the quantitative measurements can be compared to a first predetermined standard, included as part of ancillary information to the quantified information, in order to identify a first initial value. Further, another of the quantitative measurements can be compared to a second predetermined standard, included as part of the ancillary information, in order to identify a second initial value. Subsequently, the quantitative information can be correlated with the ancillary information using the first initial value and the second initial value to determine a final value that is predictive of a disease state of the subject.

A method for uterine activity monitoring may include: acquiring a plurality of signals from a plurality of sensors during uterine activity; processing the plurality of signals to extract a plurality of uterine electrical activity characteristics; analyzing the plurality of uterine electrical activity characteristics; and classifying the uterine activity as one of: a preterm labor contraction, a labor contraction, a Braxton-Hicks contraction, and a state of no contraction. A method of assessing over time a pre-term birth risk of a pregnant female may include: calculating a baseline pre-term birth risk score based on a user input; acquiring, over time, a signal from a sensor; analyzing the signal to extract a parameter of interest, such that the parameter of interest comprises a physiological parameter; and calculating an instant pre-term birth risk score based, at least in part, on the parameter of interest and the user input.

The evaluation system for evaluating a status of rumen fermentation in a ruminant includes an evaluation device that has an estimation unit for estimating a status of rumen fermentation in a ruminant based on a milk production record which indicates a milk yield and a milk component of milk produced by the ruminant. According to the evaluation system, it is possible to easily evaluate the status of rumen fermentation in the ruminant.

The present disclosure discloses a system (100) to accurately determine the calorie consumed during daily activities/exer cise of a user associated with a user device (102) having a plurality of sensors. The system (100) comprises a rules repository (104), an input module (106), a user repository (108), a monitoring module (110), a first analysis module (112), a second analysis module (114), a third analysis module (116) and a calorie consumption module (118). The rules repository (104) stores three sets of pre-determined calculating rules and analysis rules. The input module (106) enables user to enter a plurality of primary user details and store it in the user repository (108). The monitoring module (110) receive a plurality of dynamic user data, a surroundings data and a user activity data using the sensors. The received data along with the primary user details is analysed. A first result, a second result and a third result are calculated post analysis and are added to get a final calorie result.

The present disclosure generally relates to user interfaces for health applications. In some embodiments, exemplary user interfaces for managing health and safety features on an electronic device are described. In some embodiments, exemplary user interfaces for managing the setup of a health feature on an electronic device are described. In some embodiments, exemplary user interfaces for managing background health measurements on an electronic device are described. In some embodiments, exemplary user interfaces for managing a biometric measurement taken using an electronic device are described. In some embodiments, exemplary user interfaces for providing results for captured health information on an electronic device are described. In some embodiments, exemplary user interfaces for managing background health measurements on an electronic device are described.

An electronic device comprises a sensor, a notifier and a controller. The sensor is urged to a test part side of an examinee and can detect pulsation at the test part. The notifier notifies information for a position of the sensor at the test part. The controller controls the notifier to notify information for a position of the sensor at the test part based on pulsation at the test part detected by the sensor.

A metabolic energy monitoring system having one or more physiological measurement platforms and displays enabling the calculation and display of energy balance, kilocalorie energy expenditure and kilocalorie intake is described. In preferred embodiments, the system utilizes one or more on-body monitoring platforms to enable measurement of change in body composition and kilocalorie energy expenditure over a period of time thereby enabling a comparator to calculate net energy balance over this period of time and to calculate kilocalorie intake over this same period of time. Such data may then be displayed on a display device in wireless communication with the on-body monitoring platform to provide the user of the system with useful information and guidance in weight management applications.

A calculation device is provided with: an acquisition unit that acquires an acetone concentration in a gas constituent discharged from a user and measured; an estimation unit that estimates a calorie balance corresponding to the acetone concentration acquired by the acquisition unit based on a predetermined correlative relationship between acetone concentrations and calorie balance; and a processing execution unit that executes predetermined processing using an estimation result of the estimation unit.