A method of early detection of risk of pre-eclampsia in a pregnant woman comprises the steps of determining the blood pressure and body mass index (BMI) of the pregnant woman, and optionally sex of the fetus, at 8 to 24 weeks of pregnancy, comparing the BMI with a reference BMI, and comparing the blood pressure input with a reference blood pressure, and providing a risk of pre-eclampsia and in particular term or pre-term pre-eclampsia based on the comparison.

Disclosed herein is a non-invasive system for determining tissue composition. The system comprises an imaging system with a non-invasive probe, a signal analyzer, and a correlation processor. The probe includes active imaging components for emitting energy and collecting imaging data including reflected signals from an object of interest. The signal analyzer analyzes the imaging data and determines one or more signal properties from the reflected signals. The correlation processor then associates the one or more signal properties to pre-determined tissue signal properties of different tissue components through a pattern recognition technique wherein the pre-determined tissue signal properties are embodied in a database, and identifies a tissue component of the object based on the pattern recognition technique.

A vehicle allocation service system includes an acquisition unit configured to acquire biological information and positional information of a user, a selection unit configured to select a moving object to be provided to the user based on the biological information, a decision unit configured to acquire priority added to a satisfied condition of the biological information of the user and decide an order of vehicle allocation for the selected moving object according to the priority, and an instruction unit configured to instruct the selected moving object to move according to the positional information.

An electronic device is provided processor configured to: receive a biological signal of a user; detect whether the electronic device is attached to or detached from the user based on at least the biological signal; and control an I/O device operationally connected to the electronic device based on whether the electronic device is attached to or detached from the user.

A body composition detection method and a device (100) are provided. The device (100) includes a housing (2), a support layer, and at least one detector (101, 102, 103, or 104). The detector (101, 102, 103, or 104) includes an impedance measurement assembly and a dehumidification assembly. The support layer includes a processor. Both the impedance measurement assembly and the dehumidification assembly are electrically connected to the processor. The impedance measurement assembly, the dehumidification assembly, and the processor are all disposed inside the housing (2). The impedance measurement assembly is embedded on an upper surface of the housing (2). An upper surface of the impedance measurement assembly is flush with or higher than the upper surface of the housing (2). The upper surface of the impedance measurement assembly is in contact with a human body during measurement.

A dry weight measurement system and method uses multiple frequency bioimpedance measurements. In one embodiment, the dry weight measurement system may be used to monitor dialysis patients.

Disclosed is a method for analyzing a body component, which is performed by a computing device including at least one processor according to some exemplary embodiments of the present disclosure. The method may include: acquiring a first measurement value measured in tissue to be measured by using a first device; acquiring a chromophore concentration value measured in the tissue to be measured by using a second device different from the first device; training a neural network model by using training data generated based on the first measurement value and the chromophore concentration value; and when the training of the neural network model is completed, acquiring a prediction value of a chromophore concentration by inputting a second measurement value measured in a specific tissue by using the first device into the neural network model.

A parenteral nutritional diagnostic system, apparatus, and method are disclosed. In an example embodiment, a parenteral nutritional diagnostic apparatus determines muscle quantity and muscle quality of a patient's psoas muscle to determine a nutritional status of the patient. An image interface is configured to receive a medical image including radiodensity data related to imaged tissue of the patient. The apparatus also includes a processor configured to use the medical image to determine a tissue surface area for each different value of radiodensity and determine a distribution of the tissue surface area for each radiodensity value. The processor is configured to determine muscle quality by locating a soft tissue peak within the distribution that corresponds to a local peak in at a region related to at least one of muscle tissue, organ tissue, and intramuscular adipose tissue. The processor determines the nutritional status of the patient based on soft tissue peak.

Systems and methods for high frequency impedance spectroscopy detection of daily changes of dielectric properties of the human body to measure body composition and hydration status. According to an aspect, a method at a computing device to determine a set of indirect dynamic human metabolism parameters includes using a sensor on an individual to acquire a set of electrical measurements. The method also includes combining a ratio technique with a canonical model form technique. The also includes performing a series of mathematical calculations on the acquired set of electrical measurements to determine the set of indirect dynamic human metabolism parameters for the individual based on the combined ratio technique and the canonical model form technique. The method further includes generating a trend regarding the set of indirect dynamic human metabolism parameters in response to performing the series of mathematical calculations on the acquired set of electrical measurements to determine the set of indirect dynamic human metabolism parameters for the individual.

The invention pertains to the establishment, implementation and management of a personalized information system pertinent to a user's general health, wellness and/or sport performance. Disclosed is a system capable of transcutaneous measurement of a subject including at least one light source, at least one light detector, and at least one component for generating or storing at least one value of VC02 or at least one value of V02 from the detected signal. Further, disclosed is a portable device for analyzing the composition of the respired gasses of a subject including at least one air flow conduit through which the subject can inspire or expire air through the body of the device, at least one sampling portal, an oxygen sensor, and at least one flow sensor. A dual-battery system is also provided by which an uninterrupted power supply can be provided for electronic components.