A method can include receiving data for a body where the data include energy consumption data and weight change data; generating an efficiency parameter value using the received data, where the efficiency parameter depends on a difference of an amount of water in two different types of body tissues of the body; and generating an output using the efficiency parameter, where such a method can be performed via circuitry of a system or a device, which may include a weight scale, a wearable computing device or a smart phone.

A method of monitoring compliance with an insulin regimen prescribed for a diabetic patient includes receiving continuous glucose monitoring (CGM) data for the patient over a period of time; determining a degree of variability in the CGM data obtained over the period of time; evaluating compliance with the prescribed insulin regimen based at least in part on the degree of variability in the CGM data that is determined; and responsive to the evaluating, causing at least one action to be performed to facilitate a change in patient behavior that increases compliance with the prescribed insulin regimen when compliance is determined to be less than required to optimize therapeutic treatment of diabetes in the diabetic patient.

An electronic device and method are disclosed. The electronic device includes a display, a first sensor, a communication module and a processor. The processor implements the method, including calculating a first impedance via the first biometric information, calculating a first body composition based on the first impedance, receiving second biometric information from an external electronic device, calculating a second impedance using the second biometric information, calculating a second body composition based the second impedance, calculating a total body composition based on at least one of the first impedance and the second impedance, calculating a third body composition for a third part of the body of the user, based on the total body composition, the first body composition, and the second body composition, and displaying at least one of the total body composition, the first body composition, and the second body composition, and the third body composition on the display

A system for patient cardiac imaging and tissue modeling. The system includes a patient imaging device that can acquire patient cardiac imaging data. A processor is configured to receive the cardiac imaging data. A user interface and display allow a user to interact with the cardiac imaging data. The processor includes fat identification software conducting operations to interact with a trained learning network to identify fat tissue in the cardiac imaging data and to map fat tissue onto a three-dimensional model of the heart. A preferred system uses an ultrasound imaging device as the patient imaging device. Another preferred system uses an MRI or CT image device as the patient imaging device.

A Raman sensor includes a light source assembly having a plurality of light sources configured to emit light to a plurality of skin points of skin, each of the plurality of skin points having a predetermined separation distance from a light collection region of the skin from which Raman scattered light is collected; a light collector configured to collect the Raman scattered light from the light collection region of the skin; and a detector configured to detect the collected Raman scattered light.

The present invention is directed to a method for health monitoring using one or more sensors comprising first measuring (100) a body composition via one or more sensors. The measured body composition is then classified (102) into one of a plurality of categories. An at least one setting to be used for the health monitoring is adjusted (104) based on the classified body composition. Then, the health monitoring is performed (106) using the adjusted at least one health monitoring setting, wherein at least one of the sensors used to measure the body composition may also be used to perform the health monitoring.

The present invention may provide a system for recommending a user-customized beverage through a genetic test, and a method for driving same, the system comprising: a genetic information acquisition unit for acquiring user's genetic information from a result of a user's genetic test; and a beverage recommendation unit for recommending at least one user-customized recommendable beverage on the basis of the genetic information acquired from the genetic information acquisition unit, wherein the system for recommending a user-customized beverage through a genetic test can recommend a customized-beverage to a user by reflecting a genotype through the user's genetic test.

An Internet of Thing (IoT) device includes a body with a processor, a camera and a wireless transceiver coupled to the processor.

The bioelectrical impedance measurement device mainly includes a portable casing, a control member inside the portable casing, and an electrode assembly joined to the portable casing and electrically connected to the control member. The control member includes current generation element, a current collection and processing element, and a current protection element. The electrode assembly includes a left-hand contact and a right-hand contact, both configured on the portable casing. The electrode assembly further includes a left-foot contact, and a right-foot contact, both extended from the portable casing. The left-hand contact, right-hand contact, left-foot contact, and right-foot contact are respectively connected to a user's left hand, right hand, left foot, and right foot. The current generation element generates an electrical current, which enters the user's body through the limbs and then collected to calculate various bioelectrical impedances and to determine a required biological information.

In general, devices, systems, and methods for fiducial identification and tracking are provided.