Biolinq Incorporated

Alan Steven Campbell

Thomas Arnold Peyser

David Michael Morelock

Richard Chien Yang

Joshua Ray Windmiller

Jared Rylan Tangney

Sirilak Sattayasamitsathit

James McCanna

Daniel Alonso-soski

Pradnya Prakash Samant

Jennifer Ruth Walters Fuchs

Shuai Xu

Robert Mckinlay

Buddhadev Paul Chaudhuri

Evan L Hsu

William C Hsu

Aspects of the current subject matter are directed to a sensor assembly of an analyte monitoring device including one or more microneedle arrays. Aspects are directed to components and architecture of a sensor assembly to implement power and processing aspects of a microneedle array-based continuous analyte monitoring device for the detection and measuring of an analyte. A source of a power-on event is determined, and the analyte monitoring device is transitioned to a mode that corresponds to the determined source. When a power-on event is determined to be a valid power-on event, the analyte monitoring device is transition to a mode that corresponds to a type of the valid power-on event.

Sensor assembly of a microneedle array-based continuous analyte monitoring device

Described herein are variations of an analyte monitoring system, including an analyte monitoring device. For example, an analyte monitoring device may include an implantable microneedle array for use in measuring one or more analytes (e.g., glucose), such as in a continuous manner. The microneedle array may include, for example, at least one microneedle including a tapered distal portion having an insulated distal apex, and an electrode on a surface of the tapered distal portion located proximal to the insulated distal apex. At least some of the microneedles may be electrically isolated such that one or more electrodes is individually addressable.

Continuous analyte monitoring system with microneedle array

Described herein are variations of an analyte monitoring system, including an analyte monitoring device. For example, an analyte monitoring device may include an implantable microneedle array for use in measuring one or more analytes (e.g., glucose), such as in a continuous manner. Each microneedle of the microneedle array may include a microneedle body, an electrode material on the microneedle body, a biorecognition layer on the electrode material, a diffusion-limiting layer on the biorecognition layer, an interferent blocking agent, and/or an attachment enhancer between the biorecognition layer and the diffusion-limiting layer, where the interferent blocking agent and the attachment enhancer are configured to improve sensor sensitivity variability.

Method for improved sensor sensitivity of a microneedle-based continuous analyte monitoring system

Fault detection and diagnostics for a microneedle array based continuous analyte monitoring device are provided. The electrochemical sensors, including the electrodes of the analyte monitoring device configured for measuring one or more target analytes, may experience various faults during use of the analyte monitoring device. By modeling the sensors as an electrical network, measurements of the electrical network may be correlated with operational parameters of the sensor. The voltage at the counter electrode provides an indication of the resistance or impedance between the working electrode and the counter electrode and is used to identify the occurrence of faults occurring at the continuous analyte monitoring device.

Fault detection for microneedle array based continuous analyte monitoring device

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San Diego, CA, United States of America

Alan Steven Campbell