A method of using an electrochemical device includes at least first and second electrodes; a chamber for receiving a fluid sample and defining a volume partially bounded by a first portion of the first electrode and a second portion of the second electrode, the first portion having a first characteristic for influencing an electrochemical reaction at the first portion, the second portion having a second characteristic for influencing an electrochemical reaction at the second portion, the first and second characteristics having a predetermined relationship. The method also includes receiving a fluid sample in the chamber; measuring first and second electrical outputs at least one of the first and second electrodes; and determining whether the first and second electrical outputs are related according to the predetermined relationship.

A sweat sensing device includes at least one sweat generation unit capable of initiating sudomotor axon reflex (SAR) sweating in an indirect stimulation region and at least one analysis unit capable of sensing a physiological parameter of sweat, collecting a sweat sample, or a combination thereof. The at least one analysis unit is located above the indirect stimulation region when the sweat sensing device is placed on skin.

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.

A method for image processing medical self-test results receives a digital image of a visual indication of a test result. A digital image is generated of the visual indication of the test result that includes noise and distortions therein. The digital image is processed using generalized curve field transforms to extract relevant features of the digital image in a presence of the noise and distortions to create a transformed image. A diagnosis is generated based upon the transformed image to the plurality of images of the test results.

Methods and systems for monitoring workplace safety and evaluating risks is provided, the method comprising receiving signals from at least one wearable device, identifying portions of the signals corresponding to physical activities, excerpting the portions of the signals corresponding to the physical activities, and calculating risk metrics based on measurements extracted from the excerpted portions of the signals, the risk metric indicative of high risk lifting activities.

A device for increasing a concentration of at least one analyte in an advective flow of biofluid includes an agent for enhancing a paracellular permeability of an epithelial tissue; and an iontophoresis electrode and a counter electrode, which are adapted to increase the concentration of said analyte in the advective flow of the biofluid. A method of sensing an analyte in a biofluid includes increasing a paracellular permeability of an epithelial tissue layer; and inducing electro-osmotic flow by reverse iontophoresis to increase a concentration of said analyte in an advective flow of the biofluid, wherein said advective flow is driven by at least one of saliva generation, sweat generation, or reverse iontophoresis.

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.

The present invention relates generally to systems and methods for measuring an analyte in a host. More particularly, the present invention relates to systems and methods for transcutaneous measurement of glucose in a host.

The described systems and methods determine a driver's fitness to safely operate a moving vehicle based at least in part upon observed UVB exposure patterns, where the driver's UVB exposure levels may serve as a proxy for vitamin D levels in that driver's body. A smart ring, wearable on a user's finger, continuously monitors user's exposure to UVB light. This UVB exposure data, representing UVB exposure patterns, can be utilized, in combination with driving data, to train a machine learning model, which will predict the user's level of risk exposure based at least in part upon observed UVB exposure patterns. The user can be warned of this risk to prevent them from driving or to encourage them to get more sunlight exposure before driving. In some instances, the disclosed smart ring system may interact with the user's vehicle to prevent it from starting while exposed to high risk due to deteriorated psychological or physiological conditions stemming from insufficient UVB exposure.

A system for automated identification of a person by the unique chemical composition of a biomaterial includes a biomaterial sample intake port in fluid communication with a sampling reservoir. The system includes a proximity sensor configured to detect the presence of a person at the biomaterial sample intake port and to produce a signal indicative thereof. The system includes at least one sensor in fluid communication with the sampling reservoir and configured to receive the signal from the proximity sensor and in response, determine a timeframe to analyze the biomaterial sample and extract at least one datum from the biomaterial sample during the timeframe. The system includes a computing node configured to receive the at least one datum from the sensor, extract a first feature from the at last one datum, compare the first feature to a stored feature associated with the person, thereby identifying the person.