Patents by Inventor Stephen J. Vanslyke

Stephen J. Vanslyke has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20210142912
    Abstract: Systems and methods disclosed provide ways for Health Care Professionals (HCPs) to be involved in initial patient system set up so that the data received is truly transformative, such that the patient not just understands what all the various numbers mean but also how the data can be used. For example, in one implementation, a CGM device is configured for use by a HCP, and includes a housing and a circuit configured to receive a signal from a transmitter coupled to an indwelling glucose sensor. A calibration module converts the received signal into clinical units. A user interface is provided that is configured to display a measured glucose concentration in the clinical units. The user interface is further configured to receive input data about a patient level, where the input data about the patient level causes the device to operate in a mode appropriate to the patient level.
    Type: Application
    Filed: January 7, 2021
    Publication date: May 13, 2021
    Inventors: Scott M. Belliveau, Naresh C. Bhavaraju, Darin Edward Chum Dew, Eric Cohen, Anna Leigh Davis, Mark Dervaes, Laura J. Dunn, Minda McDorman Grucela, Hari Hampapuram, Matthew Lawrence Johnson, Apurv Ullas Kamath, Steven David King, Katherine Yerre Koehler, Aditya Sagar Mandapaka, Zebediah L. McDaniel, Sumitaka Mikami, Subrai Girish Pai, Philip Mansiel Pellouchoud, Stephen Alan Reichert, Eli Reihman, Peter C. Simpson, Brian Christopher Smith, Stephen J. Vanslyke, Robert Patrick Van Tassel, Matthew D. Wightlin, Richard C. Yang, James Stephen Amidei, David Derenzy, Benjamin Elrod West, Vincent Crabtree, Michael Levozier Moore, Douglas William Burnette, Alexandra Elena Constantin, Nicholas Polytaridis, Dana Charles Cambra, Abhishek Sharma, Kho Braun, Patrick Wile McBride
  • Patent number: 10987040
    Abstract: Systems and methods for applying time-dependent algorithmic compensation functions to data output from a continuous analyte sensor. Some embodiments determine a time since sensor implantation and/or whether a newly initialized sensor has been used previously.
    Type: Grant
    Filed: June 13, 2017
    Date of Patent: April 27, 2021
    Assignee: DexCom, Inc.
    Inventors: Michael J. Estes, Stephen J. Vanslyke, Apurv Ullas Kamath, Thomas A. Peyser, Lucas Bohnett, Aarthi Mahalingam, Arturo Garcia, Peter C. Simpson, Anna Leigh Davis, Sebastian Böhm
  • Publication number: 20200337607
    Abstract: Systems and methods for processing sensor data and calibration of the sensors are provided. In some embodiments, the method for calibrating at least one sensor data point from an analyte sensor comprises receiving a priori calibration distribution information; receiving one or more real-time inputs that may influence calibration of the analyte sensor; forming a posteriori calibration distribution information based on the one or more real-time inputs; and converting, in real-time, at least one sensor data point calibrated sensor data based on the a posteriori calibration distribution information.
    Type: Application
    Filed: July 14, 2020
    Publication date: October 29, 2020
    Inventors: Stephen J. Vanslyke, Naresh C. Bhavaraju, Lucas Bohnett, Arturo Garcia, Apurv Ullas Kamath, Jack Pryor
  • Publication number: 20200323470
    Abstract: Systems and methods are disclosed which provide for a “factory-calibrated” sensor. In doing so, the systems and methods include predictive prospective modeling of sensor behavior, and also include predictive modeling of physiology. With these two correction factors, a consistent determination of sensitivity can be achieved, thus achieving factory calibration.
    Type: Application
    Filed: June 24, 2020
    Publication date: October 15, 2020
    Inventors: Rui Ma, Naresh C. Bhavaraju, Thomas Stuart Hamilton, Jonathan Hughes, Jeff Jackson, David I-Chun Lee, Peter C. Simpson, Stephen J. Vanslyke
  • Publication number: 20200316296
    Abstract: Systems and methods are disclosed that provide smart alerts to users, e.g., alerts to users about diabetic states that are only provided when it makes sense to do so, e.g., when the system can predict or estimate that the user is not already cognitively aware of their current condition, e.g., particularly where the current condition is a diabetic state warranting attention. In this way, the alert or alarm is personalized and made particularly effective for that user. Such systems and methods still alert the user when action is necessary, e.g., a bolus or temporary basal rate change, or provide a response to a missed bolus or a need for correction, but do not alert when action is unnecessary, e.g., if the user is already estimated or predicted to be cognitively aware of the diabetic state warranting attention, or if corrective action was already taken.
    Type: Application
    Filed: June 17, 2020
    Publication date: October 8, 2020
    Inventors: Anna Leigh Davis, Scott M. Belliveau, Naresh C. Bhavaraju, Leif N. Bowman, Rita M. Castillo, Alexandra Elena Constantin, Rian Draeger, Laura J. Dunn, Gary Brian Gable, Arturo Garcia, Thomas Hall, Hari Hampapuram, Christopher Robert Hannemann, Anna Claire Harley-Trochimczyk, Nathaniel David Heintzman, Andrea Jean Jackson, Lauren Hruby Jepson, Apurv Ullas Kamath, Katherine Yerre Koehler, Aditya Sagar Mandapaka, Samuel Jere Marsh, Gary A. Morris, Subrai Girish Pai, Andrew Attila Pal, Nicholas Polytaridis, Philip Thomas Pupa, Eli Reihman, Ashley Anne Rindfleisch, Sofie Wells Schunk, Peter C. Simpson, Daniel Smith, Stephen J. Vanslyke, Matthew T. Vogel, Tomas C. Walker, Benjamin Elrod West, Atiim Joseph Wiley
  • Publication number: 20200275870
    Abstract: Systems and methods described provide dynamic and intelligent ways to change the required level of user interaction during use of a monitoring device. The systems and methods generally relate to real time switching between a first or initial mode of user interaction and a second or new mode of user interaction. In some cases, the switching will be automatic and transparent to the user, and in other cases user notification may occur. The mode switching generally affects the user's interaction with the device, and not just internal processing. The mode switching may relate to calibration modes, data transmission modes, control modes, or the like.
    Type: Application
    Filed: May 19, 2020
    Publication date: September 3, 2020
    Inventors: Naresh C. Bhavaraju, Michael A. Bloom, Leif N. Bowman, Alexandra Lynn Carlton, Katherine Yerre Koehler, Hari Hampapuram, Jonathan Hughes, Lauren Hruby Jepson, Apurv Ullas Kamath, Anna Leigh Davis, Peter C. Simpson, Stephen J. Vanslyke
  • Patent number: 10737025
    Abstract: Systems and methods are disclosed that provide smart alerts to users, e.g., alerts to users about diabetic states that are only provided when it makes sense to do so, e.g., when the system can predict or estimate that the user is not already cognitively aware of their current condition, e.g., particularly where the current condition is a diabetic state warranting attention. In this way, the alert or alarm is personalized and made particularly effective for that user. Such systems and methods still alert the user when action is necessary, e.g., a bolus or temporary basal rate change, or provide a response to a missed bolus or a need for correction, but do not alert when action is unnecessary, e.g., if the user is already estimated or predicted to be cognitively aware of the diabetic state warranting attention, or if corrective action was already taken.
    Type: Grant
    Filed: August 23, 2017
    Date of Patent: August 11, 2020
    Assignee: DexCom, Inc.
    Inventors: Anna Leigh Davis, Scott M. Belliveau, Naresh C. Bhavaraju, Leif N. Bowman, Rita M. Castillo, Alexandra Elena Constantin, Rian Draeger, Laura J. Dunn, Gary Brian Gable, Arturo Garcia, Thomas Hall, Hari Hampapuram, Christopher Robert Hannemann, Anna Claire Harley-Trochimczyk, Nathaniel David Heintzman, Andrea J. Jackson, Lauren Hruby Jepson, Apurv Ullas Kamath, Katherine Yerre Koehler, Aditya Sagar Mandapaka, Samuel Jere Marsh, Gary A. Morris, Subrai Girish Pai, Andrew Attila Pal, Nicholas Polytaridis, Philip Thomas Pupa, Eli Reihman, Ashley Anne Rindfleisch, Sofie Wells Schunk, Peter C. Simpson, Daniel Smith, Stephen J. Vanslyke, Matthew T. Vogel, Tomas C. Walker, Benjamin Elrod West, Atiim Joseph Wiley
  • Publication number: 20200245914
    Abstract: Systems and methods described provide dynamic and intelligent ways to change the required level of user interaction during use of a monitoring device. The systems and methods generally relate to real time switching between a first or initial mode of user interaction and a second or new mode of user interaction. In some cases, the switching will be automatic and transparent to the user, and in other cases user notification may occur. The mode switching generally affects the user's interaction with the device, and not just internal processing. The mode switching may relate to calibration modes, data transmission modes, control modes, or the like.
    Type: Application
    Filed: April 17, 2020
    Publication date: August 6, 2020
    Inventors: Naresh C. Bhavaraju, Michael A. Bloom, Leif N. Bowman, Alexandra Lynn Carlton, Katherine Yerre Koehler, Hari Hampapuram, Lauren Hruby Jepson, Jonathan Hughes, Apurv Ullas Kamath, Anna Leigh Davis, Peter C. Simpson, Stephen J. Vanslyke
  • Patent number: 10729364
    Abstract: Systems and methods are disclosed which provide for a “factory-calibrated” sensor. In doing so, the systems and methods include predictive prospective modeling of sensor behavior, and also include predictive modeling of physiology. With these two correction factors, a consistent determination of sensitivity can be achieved, thus achieving factory calibration.
    Type: Grant
    Filed: May 8, 2019
    Date of Patent: August 4, 2020
    Assignee: DexCom, Inc.
    Inventors: Rui Ma, Naresh C. Bhavaraju, Thomas Stuart Hamilton, Jonathan Hughes, Jeff Jackson, David I-Chun Lee, Peter C. Simpson, Stephen J. Vanslyke
  • Publication number: 20200237271
    Abstract: A method for monitoring a blood glucose level of a user is provided. The method includes receiving a time-varying electrical signal from an analyte sensor during a temporal phase of a monitoring session. The method includes selecting a calibration model from a plurality of calibration models, wherein the selected calibration model comprises one or more calibration model parameters. The method includes estimating at least one of the one or more calibration model parameters of the selected calibration model based on at least the time-varying electrical signal during the temporal phase of the monitoring session. The method includes estimating the blood glucose level of the user based on the selected calibration model and using the at least one estimated parameter. An apparatus and non-transitory computer readable medium having similar functionality are also provided.
    Type: Application
    Filed: January 31, 2020
    Publication date: July 30, 2020
    Inventors: Stephen J. Vanslyke, Giada Acciaroli, Martina Vettoretti, Andrea Facchinetti, Giovanni Sparacino
  • Publication number: 20200205744
    Abstract: An amount of glycemic dysfunction associated with mis-timing (e.g., delay) of meal boluses based on replay analysis is determined. The amount of dysfunction of historical or estimated bolusing as compared to an optimally timed bolus based on the replay analysis is quantified and visualized. Inferences may be made about diabetes meal management regarding inputs from a patient.
    Type: Application
    Filed: December 19, 2019
    Publication date: July 2, 2020
    Inventors: Stephen D. Patek, Stephen J. Vanslyke
  • Publication number: 20200205743
    Abstract: An amount of glycemic dysfunction associated with mis-timing (e.g., delay) of meal boluses based on replay analysis is determined. The amount of dysfunction of historical or estimated bolusing as compared to an optimally timed bolus based on the replay analysis is quantified and visualized. Inferences may be made about diabetes meal management regarding inputs from a patient.
    Type: Application
    Filed: December 19, 2019
    Publication date: July 2, 2020
    Inventors: Stephen D. Patek, Stephen J. Vanslyke
  • Publication number: 20200205704
    Abstract: Systems and method are described for determining if a decision support recommendation is to be presented to a user for treatment of a diabetic state, including receiving a plurality of input data items impacting a diabetic state of a user of continuous glucose monitor, the input data items serving as input data to a process for determining a decision support recommendation; assigning a reliability level to each of the input data items; calculating a reliability metric based on the reliability levels assigned to each of the input data items; determining a decision support recommendation based on the process and the input data and presenting the decision support recommendation to the user on a user interface only if the reliability metric exceeds a threshold.
    Type: Application
    Filed: December 20, 2019
    Publication date: July 2, 2020
    Inventors: Stephen J. Vanslyke, Naresh C. Bhavaraju
  • Publication number: 20200205742
    Abstract: An amount of glycemic dysfunction associated with mis-timing (e.g., delay) of meal boluses based on replay analysis is determined. The amount of dysfunction of historical or estimated bolusing as compared to an optimally timed bolus based on the replay analysis is quantified and visualized. Inferences may be made about diabetes meal management regarding inputs from a patient.
    Type: Application
    Filed: December 19, 2019
    Publication date: July 2, 2020
    Inventors: Stephen D. Patek, Stephen J. Vanslyke
  • Publication number: 20200205705
    Abstract: Various examples described herein are directed to systems, apparatuses, and methods for mitigating break-in in an analyte sensor. An example analyte sensor system comprises an analyte sensor applicator comprising a needle; an analyte sensor comprising at least a working electrode and a reference electrode, the analyte sensor positioned at least partially within a lumen of the needle; and a hydrating agent positioned within the lumen of the needle to at least partially hydrate the needle.
    Type: Application
    Filed: December 27, 2019
    Publication date: July 2, 2020
    Inventors: Ted Tang Lee, Anna Leigh Davis, Peter C. Simpson, Liang Wang, Shanger Wang, Jiong Zou, Stephen J. Vanslyke, Rui Ma, Wenjie Lan
  • Publication number: 20200170508
    Abstract: Systems and methods are provided to calibrate an analyte concentration sensor within a biological system, generally using only a signal from the analyte concentration sensor. For example, at a steady state, the analyte concentration value within the biological system is known, and the same may provide a source for calibration. Similar techniques may be employed with slow-moving averages. Variations are disclosed.
    Type: Application
    Filed: February 5, 2020
    Publication date: June 4, 2020
    Inventors: Arturo Garcia, Peter C. Simpson, Apurv Ullas Kamath, Naresh C. Bhavaraju, Stephen J. Vanslyke
  • Publication number: 20200096495
    Abstract: Systems and methods for processing sensor data and end of life detection are provided. In some embodiments, a method for determining the end of life of a continuous analyte sensor includes evaluating a plurality of risk factors using an end of life function to determine an end of life status of the sensor and providing an output related to the end of life status of the sensor. The plurality of risk factors may be selected from the list including the number of days the sensor has been in use, whether there has been a decrease in signal sensitivity, whether there is a predetermined noise pattern, whether there is a predetermined oxygen concentration pattern, and error between reference BG values and EGV sensor values.
    Type: Application
    Filed: November 27, 2019
    Publication date: March 26, 2020
    Inventors: Naresh C. Bhavaraju, Arturo Garcia, Hari Hampapuram, Apurv Ullas Kamath, Aarthi Mahalingam, Dmytro Sokolovskyy, Stephen J. Vanslyke
  • Patent number: 10588557
    Abstract: Systems and methods for applying time-dependent algorithmic compensation functions to data output from a continuous analyte sensor. Some embodiments determine a time since sensor implantation and/or whether a newly initialized sensor has been used previously, for example, by initializing a sensor, acquiring sensor data, using the sensor, to measure an analyte level in the host's body over a first interval based on a first elapsed time since the sensor was implanted, determining whether the sensor has been previously used in a previous sensor session or the sensor is a new sensor, and upon determining the sensor is a new sensor, adjusting the acquired sensor data to compensate for sensor drift of the new sensor by applying a first set of time-dependent algorithmic functions to the sensor data associated with the first interval.
    Type: Grant
    Filed: July 18, 2016
    Date of Patent: March 17, 2020
    Assignee: DexCom, Inc.
    Inventors: Michael J. Estes, Stephen J. Vanslyke, Apurv Ullas Kamath, Thomas A. Peyser, Lucas Bohnett, Aarthi Mahalingam, Arturo Garcia, Peter C. Simpson, Anna Leigh Davis, Sebastian Böhm
  • Patent number: 10470661
    Abstract: Systems and methods are provided to calibrate an analyte concentration sensor within a biological system, generally using only a signal from the analyte concentration sensor. For example, at a steady state, the analyte concentration value within the biological system is known, and the same may provide a source for calibration. Similar techniques may be employed with slow-moving averages. Variations are disclosed.
    Type: Grant
    Filed: September 9, 2016
    Date of Patent: November 12, 2019
    Assignee: DexCom, Inc.
    Inventors: Arturo Garcia, Peter C. Simpson, Apurv Ullas Kamath, Naresh C. Bhavaraju, Stephen J. Vanslyke
  • Patent number: 10470660
    Abstract: Systems and methods are provided to calibrate an analyte concentration sensor within a biological system, generally using only a signal from the analyte concentration sensor. For example, at a steady state, the analyte concentration value within the biological system is known, and the same may provide a source for calibration. Similar techniques may be employed with slow-moving averages. Variations are disclosed.
    Type: Grant
    Filed: September 9, 2016
    Date of Patent: November 12, 2019
    Assignee: DexCom, Inc.
    Inventors: Arturo Garcia, Peter C. Simpson, Apurv Ullas Kamath, Naresh C. Bhavaraju, Stephen J. Vanslyke