A method for estimating total body water, TBW, content of a subject, comprises: receiving locally measured bioimpedances for at least two different frequencies of a stimulation current at a body part of the subject; determining a first resistance and a second resistance of the bioimpedance, wherein the first resistance corresponds to a representation of the bioimpedance being purely resistive at a low frequency of the stimulation current and the second resistance corresponds to a representation of the bioimpedance being purely resistive at a high frequency of the stimulation current; and estimating the TBW content of the subject using a ratio between the first resistance and the second resistance.

A prediction method and system of a low blood pressure is provided, including: obtaining a plurality of feature sequence values; selecting two of the feature sequence values from the feature sequence values according to a time ratio relationship; calculating a relation coefficient according to the selected two feature sequence values by a weighting process; repeating to select the new feature sequence values and the corresponding relation coefficient and to assign the new feature sequence values and the relation coefficient into the input group until the feature sequence values conforming to the time ratio relationship are traversed; and obtaining a training result by substituting the input group into a low blood pressure prediction model.

Devices, systems, and methods can be used to suggest a discovery to an individual related to their health and wellness, including receiving data about the individual from a user interface regarding a goal for the individual, querying the individual regarding their perception of the goal, determining, a likely state of the individual (e.g., readiness to change), and selecting a subset of discoveries to display to the individual from a database that correspond to both the goal for the individual and the likely state of the individual. Displaying information may include receiving motion data including duration of motion, classifying a type of activity the individual is engaged in based on the motion data and likely intensity of the activity, and displaying a graphical user interface including a color spectrum, depending on one of the type of activity, intensity of the activity, or duration of the activity.

A tool for predicting that a person is likely to be abnormally hydrated over a future time interval, and in some cases to alert the person or a medical professional to intervene. From a series of physiological measurements, a tissue electrical impedance spectrum curve, which comprises a phase spectrum curve in an embodiment, is determined and changes in the shape of the curve are ascertained. The measurements may be received using one or more sensors worn by the person. In some embodiments, current and historic spectrum curvature are applied to an evolutionary algorithm, such as particle-swarm optimization (PSO) or differential evolution (DE), to determine an inference regarding the persons future hydration status. In one embodiment, a statistical forecast for the next epoch immediately beyond the present one, is determined.

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.

A urine color and concentration assessment system includes a housing, a color chart supported by the housing, and a urine collection container supported by the housing and positioned adjacent the color chart. The urine collection container configured to receive a urine sample for comparing a color of the urine sample to a color of the color chart.

An alignment tool helps a patient position a chest-worn sensor device, such as a device for daily at-home monitoring of cardiopulmonary health conditions. The alignment tool includes a sensor connector that engages with the sensor device and a strap. The strap includes a first portion that has a protruding region sized to fit into the patient's suprasternal notch. The strap includes a second portion that engages with the sensor connector. The sensor connector and the first portion of the strap with the suprasternal notch protrusion are separated by a configurable length. A healthcare provider may set the length based on the distance between the patient's suprasternal notch and heart.

A system for detecting salt ion concentration, comprising a device further comprising a sensor having a carbon printed electrode on a flexible substrate with adhesive on one side (backside) and the circuit electronics to generate pulse signal stimuli and measure salt concentrations to determine hydration level of a person or a living being, wherein the device is a wearable device. The electrode can be made into different shapes changing the area as necessary, since it is a carbon printed electrode and is flexible.

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.

Certain embodiments of the present disclosure relate to a monitoring device that includes a housing, contactless sensors coupled to the housing, and a processing device disposed in the housing. In at least one embodiment, the monitoring device is configured to measure pulse wave velocity in a subject.