Abstract: The invention includes method and materials designed to measure the material properties (e.g. thickness) of layers of material in a sensor using non-Faradaic EIS (Electrochemical Impedance Spectroscopy) methods. The methods are non-destructive, very sensitive and rapid. Typically in these methods, an AC voltage is applied to the desired material layer while the output current and therefore impedance is measured. This voltage can be applied in multiple frequencies in sweep mode in order to detect both the material and, for example, the thickness of the target material. In this way, EIS allows the characterization of properties of various layers of material disposed in devices such as electrochemical glucose sensors.

Abstract: A biocompatible medical device may include an electrochemical sensor including a common reference electrode; at least one counter electrode; and a work electrode platform comprising a plurality of respective work electrodes, each respective work electrode electrically coupled to the common reference electrode and comprising a respective reagent substrate configured to react with a respective analyte to produce a respective signal indicative of a concentration of the respective analyte; and processing circuitry operatively coupled to the electrochemical sensor, and configured to receive from the electrochemical sensor a plurality of signals from the plurality of respective work electrodes; identify the respective signal corresponding to a respective selected work electrode; and process the identified signal to determine the concentration of the respective analyte associated with the respective selected work electrode.

Abstract: An electrochemical sensor may include a common reference electrode, at least one counter electrode, and a work electrode platform including a plurality of respective work electrodes. Each respective work electrode of the plurality of respective work electrodes may be electrically coupled to the common reference electrode and include a respective reagent substrate configured to react with a respective analyte to produce a signal indicative of a concentration of the respective analyte.

Abstract: Methods for detecting one or more analytes in a sample utilizing Electrochemical Impedance Spectroscopy (EIS) measurement. In one method, analyte detection includes comparing an imaginary impedance measurement to a calibration curve of concentrations for each target analyte. The calibration curve of concentrations for each target analyte is established at an optimal frequency. In another method, a signal decoupling algorithm is utilized for detection of more than one analyte on an electrode.

Abstract: In some examples, an apparatus configured to be worn by a patient for cardiac defibrillation comprises sensing electrodes configured to sense a cardiac signal of the patient, defibrillation electrodes, therapy delivery circuitry configured to deliver defibrillation therapy to the patient via the defibrillation electrodes, communication circuitry configured to receive data of at least one physiological signal of the patient from at least one sensing device separate from the apparatus, a memory configured to store the data, the cardiac signal, and a machine learning algorithm, and processing circuitry configured to apply the machine learning algorithm to the data and the cardiac signal to probabilistically-determine at least one state of the patient and determine whether to control delivery of the defibrillation therapy based on the at least one probabilistically-determined patient state.

Abstract: Embodiments of the present disclosure relate generally devices for detecting analytes in a subject. More particularly, the present disclosure provides a biosensor array for detecting analytes in a subject. Embodiments of the present disclosure include a biosensor array comprising a plurality of sensor cells for detecting an analyte in a subject. In accordance with these embodiments, the plurality of sensor cells comprise at least one electrode, at least one antibody immobilized on a surface of the at least one electrode, and a biodegradable coating in contact with the at least one antibody.

Abstract: An embodiment of a sensor device includes a base substrate, a circuit pattern formed overlying the interior surface of the substrate, a physiological characteristic sensor element on the exterior surface of the substrate, conductive plug elements located in vias formed through the substrate, each conductive plug element having one end coupled to a sensor electrode, and having another end coupled to the circuit pattern, a multilayer component stack carried on the substrate and connected to the circuit pattern, the stack including features and components to provide processing and wireless communication functionality for sensor data obtained in association with operation of the sensor device, and an enclosure structure coupled to the substrate to enclose the interior surface of the substrate, the circuit pattern, and the stack.

Abstract: Processes for fabricating physiological characteristic sensor devices are disclosed here. An embodiment of the fabrication process forms a circuit pattern on a base substrate, where the circuit pattern includes circuit layouts for multiple die locations. Component stacks are mounted to the circuit layouts. Each stack has features and components to provide processing and wireless communication functionality for obtained sensor data. An enclosure structure is formed overlying the base substrate to individually cover and enclose each of the component stacks. Sensor elements are fabricated on another surface of the substrate such that each sensor element has electrodes coupled to conductive plug elements formed through the substrate, and such that each sensor element corresponds to one die location. Next, the substrate is separated into physically discrete sensor device components.

Abstract: An environmental tracking system provides facilities for modeling the processes of an organization that have an impact on the environment. The environmental tracking system allows each process to be modeled by its input substances and its resulting output substances. The environmental tracking system allows links to be established between the processes, such as indicating a source process and a destination process for a substance. Each process performs a conversion of input substances to output substances in accordance with conversion parameters specified for the process. Once the model of the processes of an organization is established, the environmental tracking system can track the flow of substances through the organization based on the model.