A method and system of removing artifacts in electroencephalogram (EEG) signals is provided. Digital EEG data, based on a digitizing of analog EEG signals of a patient from a first electrode, is received. Digital sweat sensor data, based on a digitizing of analog sweat sensor signals of the patient that are contemporaneous with the analog EEG signals, is received. A transform is applied to the digital sweat sensor data based on a predetermined sweat stress profile of the patient. The digital EEG data is adaptively adjusted by subtracting the transformed sweat sensor data from the digital EEG data.

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.

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.

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 sweat sensing device (20) comprises at least one sweat generation unit (22) capable of initiating sudomotor axon reflex (SAR) sweating in an indirect stimulation region and at least one analysis unit (24, 26) capable of sensing a physiological parameter of sweat, collecting a sweat sample, or a combination thereof. The at least one analysis unit (24, 26) is located above the indirect stimulation region when the sweat sensing device is placed on skin.

A fabric based digital droplet flowmetry (DDF) method and platform are provided utilizing a fluid collection network, a microfluidic junction for droplet formation and removal, and digital counting and measurement circuitry. The fluidic junction has a droplet emitter, such as a nozzle, and droplet receiver separated by a gap. The measurement circuitry detects the transient formation of a liquid bridge (the closed-circuit state) and the breakup of the bridge (the open-circuit state) as an electrical switching event. The duration of the bridge formation only lasts for a few milliseconds. The platform produces consistent droplet volume over varying flow rates and droplet size is controlled by the selection of structural parameters such as nozzle dimensions, channel geometries, surface wettability, and inlet/outlet pressures.

An electrochemical sensor is provided for use in a wearable device for measuring analytes in a pH-variable biofluid. The sensor includes a plurality of aptamer sensing elements which have biorecognition elements, such as aptamers, that experience a conformational change on interaction with a target analyte in the biofluid. Each aptamer sensing element forms a first configuration before target analyte capture and a second configuration after target analyte capture. A redox moiety is paired with each aptamer sensing element. The redox moiety has a reaction potential that is at least partially independent of a pH value of the biofluid. The EAB sensor further includes an electrode operative in conjunction with the plurality of aptamer sensing elements to produce a variable signal depending upon the configuration of the aptamer sensing elements.

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 power generation device, comprising a fuel, an anode and a cathode, the anode comprising an enzyme that promotes oxidation of the fuel, and the power generation device containing more water when generating power than when not generating power.

A wearable device may be provided for detecting cumulative alcohol consumption. Such a wearable device may include an adhesive layer that adheres to skin and that allows sweat from the skin to pass through and a customizable ink layer that reacts irreversibly to change color along a gradient as ethanol is detected in the sweat. The customizable ink continues to increase color intensity along the gradient as ethanol continues to be detected in the sweat over time.