Senseonics, Incorporated

James Masciotti

Abhi Chavan

Andrew Dehennis

Philip Huffstetler

Mark Mortellaro

Venkata Velvadapu

Xiaoxiao Chen

Tina HyunJung Kim

Ravi Rastogi

Barbara Montgomery

Barkha Raisoni

Bryan Hays

Patricia Sanchez

Erman Citirik

Alexander Markovic

Yahya Hosseini

Phil Huffstetler

Tina Hyunjung Kim

Venkata Velvaldupa

An improved analyte monitoring system having a sensor and a transceiver with improved communication and/or user interface capabilities. The transceiver may communicate with and power the sensor. The transceiver may receive one or more analyte measurements from the sensor and may calculate one or more analyte concentrations based on the received analyte measurements. The transceiver may generate analyte concentration trends, alerts, and/or alarms based on the calculated analyte concentrations. The system may also include a display device, which may be, for example, a smartphone and may be used to display analyte measurements received from the transceiver. The display device may execute a mobile medical application. The system may include a data management system, which may be web-based.

Continuous analyte monitoring system

An implantable device including a housing, circuitry within the housing, and a power source attached to the housing and electrically connected to the circuitry. The device may include electrically conductive connectors configured to electrically connect positive and negative terminals of the power source to the circuitry. The device may include a power source terminal enclosure attached to the power source and configured to enclose the positive and negative terminals of the power source. The power source terminal enclosure may include holes through which the electrically conductive connectors pass. The device may include a housing cap enclosure attached to the power source terminal enclosure and to an open end of the housing. The housing cap enclosure may enclose the circuitry within the housing and includes passages through which the electrically conductive connectors pass.

Enclosure for a wireless implantable device with embedded power source

An analyte monitoring system includes an analyte sensor, a transceiver, and a display device. The analyte sensor may include an analyte indicator that exhibits one or more detectable properties based on an amount or concentration of an analyte in proximity to the analyte indicator. The transceiver may receive first sensor data directly from the analyte sensor and may calculate first analyte information using at least the received first sensor data. The display device may receive second sensor data directly from the analyte sensor and calculates second analyte information using at least the received second sensor data. The transceiver may convey the first analyte information, and the display device may receive the first analyte information conveyed by the transceiver and display the first and second analyte information.

System and method for continuous and on-demand analyte monitoring

A sensor, system, and method for detecting and correcting for an effect on an analyte indicator of an analyte sensor. The analyte indicator may be configured to exhibit a first detectable property that varies in accordance with an analyte concentration and an effect on (e.g., degradation of) the analyte indicator. The analyte sensor may also include an interferent indicator configured to exhibit a second detectable property (e.g., absorption) that varies in accordance the effect on the analyte indicator. The analyte sensor may generate (i) an analyte measurement based on the first detectable property exhibited by the analyte indicator and (ii) an interferent measurement based on the second detectable property exhibited by the interferent indicator. The analyte sensor may be part of a system that also includes a transceiver. The transceiver may use the analyte and interferent measurements to calculate an analyte level.

Detecting and correcting for interference in an analyte monitoring system

A sensing system including analyte sensing devices, an interface device, and shared communication device. The interface device may be configured to receive a power signal and generate power for powering the sensing devices and to convey data signals generated by the sensing devices. The sensing system may be configured to receive addressed and unaddressed commands. The sensing devices may be configured to perform activities (e.g., measurement sequences) in parallel in response to the unaddressed commands (e.g., unaddressed measurement commands). The sensing devices may be configured to only perform activities (e.g., conveying measurement data) in response to addressed commands (e.g., addressed read measurement data commands) if the sensing devices determine that the addressed commands are addressed to them. The sensing devices may be configured to perform different measurement sequences in response to an unaddressed measurement command to minimize interference caused by the sensing devices performing the measurement sequences in parallel.

Remotely-powered sensing system with multiple sensing devices

Disclosed are systems and methods for detecting analyte levels. These systems and methods may include a sensor configured for at least partial placement in an analyte-containing medium. The sensor may include one or more transducers and one or more diffusion barriers. The diffusion barriers may be arranged to delay diffusion of analyte to one transducer relative to another transducer. This delay may be used for purposes such as calculating and/or compensating for lag between a measured analyte level and a physiological analyte level of interest.

Methods and systems for calculating analyte levels

An analyte monitoring system and method. The analyte monitoring system may include an analyte sensor and a transceiver. The analyte sensor may include an analyte indicator that exhibits one or more detectable properties based on an amount or concentration of an analyte in proximity to the indicator. The transceiver may be configured to receive one or more measurements from the sensor. The transceiver may be configured to assess in real time a performance of the sensor based on at least the one or more measurements. The transceiver may be configured to determine whether the performance of the sensor is deficient based at least on the assessed performance of the sensor. The transceiver may be configured to calculate an analyte level based on at least the one or more sensor measurements. The transceiver may be configured to determine whether the calculated analyte level is a spike.

Assessement of performance of an implanted sensor

A sensor, system, and method for detecting and correcting for changes to an analyte indicator of an analyte sensor. The analyte indicator may be configured to exhibit a first detectable property that varies in accordance with an analyte concentration and an extent to which the analyte indicator has degraded. The analyte sensor may also include a degradation indicator configured to exhibit a second detectable property that varies in accordance with an extent to which the degradation indicator has degraded. The analyte sensor may generate (i) an analyte measurement based on the first detectable property exhibited by the analyte indicator and (ii) a degradation measurement based on the second detectable property exhibited by the degradation indicator. The analyte sensor may be part of a system that also includes a transceiver. The transceiver may use the analyte and degradation measurements to calculate an analyte level.

Detecting and correcting for changes to an analyte indicator

In one aspect, a method of estimating an HbA1c level is provided. The method may include obtaining a first and second glucose measurement, adding the first and the second glucose measurements to a glucose measurement data set, and calculating an estimated HbA1c level using at least the glucose measurement data set. In another aspect, a method of calculating a range of an estimated HbAlevel is provided. The method may comprise at least calculating an estimated HbAlevel and a standard deviation of the estimated HbAlevel using a glucose measurement data set, and combining the estimated HbAlevel with the standard deviation of the estimated HbAlevel to acquire the range of the estimated HbAlevel. In another aspect, a glucose monitoring device may display glycemic variability of an individual.

Reporting of glycemic variability from continuous glucose monitoring

A system and method for measuring an amount of blood and/or clotting in a pocket around an implantable device. The system may include a first light source configured to emit light over a first wavelength range. The system may include a first photodetector configured to output a first signal indicative of an amount of the first light received by the first photodetector. The system may include the implantable device and an external device. The implantable device may include one of the first light source and the first photodetector, and the external device may include the other of the first light source and the first photodetector. In some embodiments, the external device may include a controller configured to calculate the amount of blood/or clotting in the pocket around the implantable device using at least a measurement of the first signal.

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Germantown, MD, United States of America

James Masciotti