Abstract: Devices and methods are disclosed for measuring a target substance concentration in a sample utilizing a biosensor.

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: 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: Medical devices and related systems and methods are provided. A method of controlling medication delivery based on sensor input involves obtaining a measurement parameter representing an electrical response of a first instance of a sensing element to a physiological condition of a person. The measurement parameter is converted into a calibrated measurement parameter using calibration data specific to the first instance of the sensing element. The method further involves determining a measurement value using the calibrated measurement parameter as input to a performance model. The performance model is derived from historical calibrated measurement parameters and corresponding reference values. The historical calibrated measurement parameters are from other instances of the sensing element. A command is then determined based on the measurement value and sent to a medical device. The command causes the medical device to deliver a dose of medication influencing the physiological condition of the person.

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: 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: 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 comprises 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 enzymatic sensor configured to determine the concentration of levodopa present in a sample according to a current or a resonant frequency produced in response to levodopa interactions with L-amino acid decarboxylase present in the sensor. A processor associated with the sensor determines levodopa concentration and produces dose recommendation or output according to levodopa concentration.

Abstract: Medical devices and related systems and methods are provided. A method of calibrating an instance of a sensing element involves obtaining fabrication process measurement data from a substrate having the instance of the sensing element fabricated thereon, obtaining a calibration model associated with the sensing element, determining calibration data associated with the instance of the sensing element for converting the electrical signals into a calibrated measurement parameter based on the fabrication process measurement data using the calibration model, and storing the calibration data in a data storage element associated with the instance of the sensing element.

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: An enzymatic sensor configured to determine the concentration of levodopa present in a sample according to a current or a resonant frequency produced in response to levodopa interactions with L-amino acid decarboxylase present in the sensor. A processor associated with the sensor determines levodopa concentration and produces dose recommendation or output according to levodopa concentration.

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: 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 comprises 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: 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: 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 enzymatic sensor configured to determine the concentration of levodopa present in a sample according to a current or a resonant frequency produced in response to levodopa interactions with L-amino acid decarboxylase present in the sensor. A processor associated with the sensor determines levodopa concentration and produces dose recommendation or output according to levodopa concentration.

Abstract: Medical devices and related systems and methods are provided. A method of calibrating an instance of a sensing element involves obtaining fabrication process measurement data from a substrate having the instance of the sensing element fabricated thereon, obtaining a calibration model associated with the sensing element, determining calibration data associated with the instance of the sensing element for converting the electrical signals into a calibrated measurement parameter based on the fabrication process measurement data using the calibration model, and storing the calibration data in a data storage element associated with the instance of the sensing element.

Abstract: Methods and apparatus for detecting binding of a diabetes-related target molecule analyte in a sample utilizing Electrochemical Impedance Spectroscopy (EIS). Sensor electrodes include a diabetes-related target-capturing molecule immobilized thereto, and an EIS-based imaginary impedance measurement is utilized to arrive at a concentration of the analyte.

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: 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.