A method includes obtaining monitoring data recorded by first and second devices, the first and second devices being attached to the subject at different first and second sties, respectively. The monitoring data comprises signals associated with at least one physiological parameter of the subject. The method also includes extracting one or more features of the signals recorded by the first and second devices during a transitionary period when the first and second devices simultaneously monitor the at least one physiological parameter of the subject. The method further includes generating at least one correlation parameter by analyzing the extracted features of the signals recorded by the first and second devices for at least a portion of the transitionary period, the at least one correlation parameter when applied to signals recorded by the second device at least partially compensating for relative changes in signals recorded by the first and second devices.

A method to determine medication adherence may include detecting whether a wearable electronic device is in use. The method may include detecting one or more markers in sweat vapor of the user using a chemical marker sensor of the wearable electronic device. The method may include, in response to detecting that the system is in use, determining whether the user has taken a therapeutic agent that includes the one or more markers based on detecting the one or more markers in the sweat vapor.

A measurement device (1) for measuring at least one vital parameter is provided. The measurement device (1) comprises a base body (2), a fixing means (10) and at least one sensor (5). The at least one sensor (5) is mounted in a damped manner, in particular actively damped, by a means for pressure regulation (7) in the base body (2), in particular in a recess (3) of the base body (2). Furthermore, a measurement system with a measurement device (1) according to the invention, a method for determining a pressure with which the sensor (5) of the measurement device lies on the skin of the patient, a method for measuring at least one vital parameter and a use of the measurement device for determining at least one vital parameter are provided.

The disclosed technology provides a system and a computer implemented method for crisis state detection and intervention of a person or group of persons, the method comprising: providing a computer system designed to detect and intervene non-normal, elevated crisis operating states; using one or more biometric sensors that ascertains a crisis state via physical, behavioral, or mental indicators; deducing, with computational hardware, the operational state of a user or users from one or more biometric sensors; and administering an immediate, dual intervention of a sensory form to de-escalate the crisis operating state of a person or group of persons.

Methods, systems, and devices are disclosed for collecting and transferring naturally-produced sweat containing an analyte to a biosensor and/or biofuel cell to estimate a concentration of the analyte corresponding to the analyte's concentration in blood and/or for producing electricity. In some aspects, a device includes a substrate, a plurality of electrodes disposed on the substrate and operable to detect an analyte in naturally-produced sweat of an individual, and a sweat permeation layer including a hydrogel, wherein the sweat permeation layer is in contact with the plurality of electrodes and configured to transfer the sweat containing the analyte through the sweat permeation layer to reach the plurality of electrodes for detection and/or energy harvesting.

Systems and methods to determine if an individual is impaired. The system includes a display and a stimulus on the display. The system include a controller that is programmed to move the stimulus about the display and one or more sensors that track eye movements and pupil size of a user due to movement of the stimulus or light conditions. The system includes a processor programmed to analyze the eye movements and pupil data size. The method includes using a testing apparatus and collecting data from the testing apparatus. The method includes storing the collected data. The method includes processing the data with an automated impairment decision engine to determine whether a test subject is impaired. The method may include using machine learning models or statistical analysis to determine whether a test subject is impaired. The automated impairment decision engine may be trained using machine learning and/or statistical analysis.

A biomarker diagnostic system includes a sensor to collect a sweat sample from a biological subject; a processor operatively connected to the sensor, wherein the processor is configured to perform metabolic and proteomic profiling of biomarkers in the sweat sample. The metabolic and proteomic profile is compared to a predetermined profile of the biomarkers and to determine a physiological status of the biomarkers. The system further includes a feedback unit operatively coupled to the sensor and the processor and configured to output physiological performance data based on the physiological status.

Mattress assemblies and pillows are provided that include a flexible biosensor array provided on a layer of the mattress assembly for sensing an electrical conductivity associated with sweat emitted from an end user of the mattress assembly and producing an ionic concentration of at least one electrolyte; and a processor connected to the flexible biosensor array for interpreting the ionic concentration of the at least one electrolyte. Also disclosed are processes for monitoring and analyzing sweat from an end user of the mattress assemblies and pillows.

Systems and methods for processing sensor data and self-calibration are provided. In some embodiments, systems and methods are provided which are capable of calibrating a continuous analyte sensor based on an initial sensitivity, and then continuously performing self-calibration without using, or with reduced use of, reference measurements. In certain embodiments, a sensitivity of the analyte sensor is determined by applying an estimative algorithm that is a function of certain parameters. Also described herein are systems and methods for determining a property of an analyte sensor using a stimulus signal. The sensor property can be used to compensate sensor data for sensitivity drift, or determine another property associated with the sensor, such as temperature, sensor membrane damage, moisture ingress in sensor electronics, and scaling factors.

Devices and methods are provided for continuous measurement of an analyte concentration. The device can include a sensor having a plurality of sensor elements, each having at least one characteristic that is different from other sensor(s) of the device. In some embodiments, the plurality of sensor elements are each tuned to measure a different range of analyte concentration, thereby providing the device with the capability of achieving a substantially consistent level of measurement accuracy across a physiologically relevant range. In other embodiments, the device includes a plurality of sensor elements each tuned to measure during different time periods after insertion or implantation, thereby providing the sensor with the capability to continuously and accurately measure analyte concentrations across a wide range of time periods. For example, a sensor system 180 is provided having a first working electrode 150 comprising a first sensor element 102 and a second working electrode 160 comprising a second sensor element 104, and a reference electrode 108 for providing a reference value for measuring the working electrode potential of the sensor elements 102, 104.