A method for generating correlations between human biological phenotype and human behavioral and/or emotional phenotype, and optionally to temporal location, comprising the steps of correlating data on biological phenotype with survey-based data on behavioral and/or emotional phenotype. The data on biological phenotype is collected from a sample from an individual, and the survey-based data can be collected from answers to behavioral and emotional questions from the individual or from observations of the individual by a third party. Correlations can further be used to predict behavior, including preferences, wellness needs and desires, and/or emotions. Feedback, advice and guidance can be provided to individuals based on such correlations. Such correlations are further useful for product and service providers and industries for purposes of standardizing or rating product quality and efficacy, and/or for promotion and selling purposes. A database comprising the data on biological phenotype and survey-based data is also provided.

According to various, but not necessarily all, embodiments there is provided an apparatus comprising means for: obtaining a propagation profile for wireless signals transmitted between at least two devices via a creeping wave along a user's skin; causing transmission of electromagnetic radiation towards a plurality of locations on a target user's body to obtain dielectric properties of their skin at the plurality of locations based on an amount of the electromagnetic radiation reflected from each location; determining whether the propagation profile correlates with a realizable creeping wave along the target user's skin, the realizability being based on the obtained dielectric properties of their skin; and forming an association between the target user and the at least two devices based on a strength of correlation between the propagation profile and a realizable creeping wave.

Devices and methods useful for sensing epidermal tissue are disclosed. Thermal data from the devices allows for determination of thermal transport properties, such as thermal conductivity, thermal diffusivity and heat capacity per unit volume. From these data, tissue parameters, such as hydration state, stratum corneum thickness, epidermis thickness and vasculature structure may be determined. These parameters may be used, for example, to evaluate the efficacy of dermatological compounds.

A smart object may be used to monitor the hydration level of a person. The object has at least two impedance sensors that can be used to sense the complex impedance of a person when a tissue of the user comes into contact with the impedance sensors. The measured impedance can then be used to determine the hydration level of the person. In addition to using the impedance sensors to determine the hydration level of the person, the impedance sensors can also be used to capture an electrocardiogram for the person. The smart object may also be used with another smart object to determine the identity of the user or other physiological parameters of the user such as blood pressure.

Embodiments herein include systems and methods for detecting, predicting and/or assessing acute kidney injury. In an embodiment, a monitoring system to detect acute kidney injury is included. The monitoring system can include a sensor circuit configured to collect renal data including at least one of systemic renal data, direct renal data, urinary tract data, and renal-relevant extracorporeal data. The monitoring system can also include a memory circuit to store collected renal data, an evaluation circuit to assess renal status, and a telemetry circuit. The evaluation circuit can determine whether acute kidney injury has occurred or is likely to occur by comparing the renal data to at least one of threshold values, personal historical values, patient population values and patterns indicative of acute kidney injury. The evaluation circuit can initiate a warning notification if acute kidney injury has occurred or is likely to occur. Other embodiments are also included herein.

Optical coherence tomography (herein “OCT”) based analyte monitoring systems are disclosed. In one aspect, techniques are disclosed that can identify fluid flow in vivo (e.g., blood flow), which can act as a metric for gauging the extent of blood perfusion in tissue. For instance, if OCT is to be used to estimate the level of an analyte (e.g., glucose) in tissue, a measure of the extent of blood flow can potentially indicate the presence of an analyte correlating region, which would be suitable for analyte level estimation with OCT. Another aspect is related to systems and methods for scanning multiple regions. An optical beam is moved across the surface of the tissue in two distinct manners. The first can be a coarse scan, moving the beam to provide distinct scanning positions on the skin. The second can be a fine scan where the beam is applied for more detailed analysis.

The present invention is directed to a system for monitoring a physiological parameter of a cyclist, and methods of using the system. The system comprises a garment, a sensor, and a signal processor. The garment is configured to be worn by the cyclist. The sensor is fixedly coupled to the garment and configured to measure a signal representative of the physiological parameter during pedaling. The signal processor is operatively coupled to the sensor and configured to determine a diagnosis based on the measured signal. An alert is generated in response to the diagnosis substantially in real time.

There is provided a hydration state indicator. The hydration state indicator comprises a watertight shell; a semi-permeable membrane configured to permit the passage of water molecules and to block the passage of molecules of at least one solute; a water-absorbent indicator layer enclosed by the shell and the membrane; and output means configured to provide an output. The water-absorbent indicator layer has a predetermined osmotic strength. The volume of at least one part of the indicator layer is variable in dependence on the water content of the indicator layer. The output is variable in dependence on the volume of the at least one part of the indicator layer.

The present invention relates to a method for calculating or approximating a value representing the relative blood volume (RBV) at a certain point of time, or a value representing the refilling volume of a patient that may be observed or found during or due to a blood treatment of the patient, the method involving considering one or more calculated or measured value(s) reflecting an overhydration level of the patient or an approximation thereof. It relates further to an apparatus and a device for carrying out the present invention, a blood treatment device, digital storage means, a computer program product, and a computer program.

A method, device and non-transitory digital storage medium for estimating non-aqueous tissue volume of at least a portion of a subject. The method includes, in a processing unit, obtaining quantitative magnetic resonance properties of the portion of the subject, providing the quantitative magnetic resonance properties as input to a tissue model, and determining the non-aqueous tissue volume of the portion based on the tissue model and the quantitative magnetic resonance properties.