Abstract: Various examples are directed to systems and methods for operating an analyte sensor system using sensor electronics. An example method may comprise applying a bias voltage change to an analyte sensor bias voltage and measuring a current value for each of a plurality of time periods after application of the bias voltage change. The example method may also comprise determining an estimated impedance using the current values for the plurality of time periods and determining a characteristic of the analyte sensor using the estimated impedance. The example method may further comprise receiving from the analyte sensor a signal indicative of an analyte concentration, and determining an estimated analyte concentration level using the determined characteristic of the analyte sensor and the received signal.

Abstract: Systems and methods disclosed here provide ways to discriminate fault types encountered in analyte sensors and systems and further provide ways to process such discriminated faults responsively based on sensor data, clinical context information, and other data about the patient or patient's environment. The systems and methods thus employ clinical context in detecting and/or responding to errors or faults associated with an analyte sensor system, and discriminating the type of fault, and its root cause, particularly as fault dynamics can appear similar to the dynamics of physiological systems, emphasizing the importance of discriminating the fault and providing appropriate responsive processing. Thus, the disclosed systems and methods consider the context of the patient's health condition or state in determining how to respond to the fault.

Abstract: Various examples described herein are directed to systems and methods of detecting damage to an analyte sensor using analyte sensor impedance values. In some examples, a method of assessing sensor membrane integrity using sensor electronics comprises determining an impedance parameter of an analyte sensor and determining a membrane integrity state of the analyte sensor based on the impedance parameter.

Abstract: Various examples are directed to systems and methods of and using analyte sensors. An example analyte sensor system comprises an analyte sensor and a hardware device in communication with the analyte sensor. The hardware device may be configured to perform operations comprising applying a first bias voltage to the analyte sensor, the first bias voltage less than an operational bias voltage of the analyte sensor, measuring a first current at the analyte sensor when the first bias voltage is applied, and applying a second bias voltage to the analyte sensor. The operations may further comprise measuring a second current at the analyte sensor when the second bias voltage is applied, detecting a plateau bias voltage using the first current and the second current, determining that the plateau bias voltage is less than a plateau bias voltage threshold, and executing a responsive action at the analyte sensor.

Abstract: This document discusses, among other things, systems and methods to compensate for the effects of temperature on sensors, such as analyte sensor. An example method may include determining a temperature-compensated glucose concentration level by receiving a temperature signal indicative of a temperature parameter of an external component, receiving a glucose signal indicative of an in vivo glucose concentration level, and determining a compensated glucose concentration level based on the glucose signal, the temperature signal, and a delay parameter.

Abstract: This document discusses, among other things, systems and methods to compensate for the effects of temperature on sensors, such as analyte sensor. An example method may include determining a temperature-compensated glucose concentration level by receiving a temperature signal indicative of a temperature parameter of an external component, receiving a glucose signal indicative of an in vivo glucose concentration level, and determining a compensated glucose concentration level based on the glucose signal, the temperature signal, and a delay parameter.

Abstract: A system for multiparametric analysis includes a substrate and a three-dimensional (3D) cell aggregate. The substrate has a major surface and includes at least one radial electrode array. The 3D cell aggregate is disposed on the major surface of the substrate. The 3D cell aggregate has a longitudinal surface at least a portion of which covers one or more of the electrodes of the radial electrode array.

Abstract: A system for multiparametric analysis includes a substrate and a three-dimensional (3D) cell aggregate. The substrate has a major surface and includes at least one radial electrode array. The 3D cell aggregate is disposed on the major surface of the substrate. The 3D cell aggregate has a longitudinal surface at least a portion of which covers one or more of the electrodes of the radial electrode array.

Abstract: A system for multiparametric analysis includes a substrate and a three-dimensional (3D) cell aggregate. The substrate has a major surface and includes at least one radial electrode array. The 3D cell aggregate is disposed on the major surface of the substrate. The 3D cell aggregate has a longitudinal surface at least a portion of which covers one or more of the electrodes of the radial electrode array.