Patents by Inventor Naresh C. Bhavaraju
Naresh C. Bhavaraju 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).
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Publication number: 20250032007Abstract: Systems and methods are provided to provide guidance to a user regarding management of a physiologic condition such as diabetes. The determination may be based upon a patient glucose concentration level. The glucose concentration level may be provided to a stored model to determine a state. The guidance may be determined based at least in part on the determined state.Type: ApplicationFiled: October 11, 2024Publication date: January 30, 2025Inventors: Alexandra Elena CONSTANTIN, Scott M. BELLIVEAU, Naresh C. BHAVARAJU, Jennifer D. BLACKWELL, Eric S. COHEN, Basab DATTARAY, Anna Leigh DAVIS, Rian W. DRAEGER, Arturo GARCIA, John Michael GRAY, Hari HAMPAPURAM, Nathaniel David HEINTZMANN, Lauren Hruby JEPSON, Matthew Lawrence JOHNSON, Apurv Ullas KAMATH, Katherine Yerre KOEHLER, Phil MAYOU, Patrick Wile MCBRIDE, Michael Robert MENSINGER, Sumitaka MIKAMI, Andrew Attila PAL, Nicholas POLYTARIDIS, Philip Thomas PUPA, Eli REIHMAN, Peter C. SIMPSON, Tomas C. WALKER, Daniel Justin WIEDEBACK, Subrai Girish PAI, Matthew T. VOGEL
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Publication number: 20250037856Abstract: Systems and methods that continuously adapt aspects of a continuous monitoring device based on collected information to provide an individually tailored configuration are described. The adaptations may include adapting the user interface, the alerting, the motivational messages, the training, and the like. Such adaptation can allow a patient to more readily identify and understand the information provided by/via the device.Type: ApplicationFiled: October 17, 2024Publication date: January 30, 2025Inventors: Phil Mayou, Naresh C. Bhavaraju, Leif N. Bowman, Alexandra Lynn Carlton, Laura J. Dunn, Katherine Yerre Koehler, Aarthi Mahalingam, Eli Reihman, Peter C. Simpson
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Publication number: 20250025071Abstract: 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: ApplicationFiled: October 9, 2024Publication date: January 23, 2025Inventors: 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
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Patent number: 12171547Abstract: Systems and methods are provided to determine a time to provide guidance to a user regarding management of a physiologic condition such as diabetes. The determination may be based upon a model or pattern. The time to deliver guidance may be calculated to be useful to a user in the management of a glucose concentration level.Type: GrantFiled: February 6, 2019Date of Patent: December 24, 2024Assignee: Dexcom, Inc.Inventors: Alexandra Elena Constantin, Scott M. Belliveau, Naresh C. Bhavaraju, Jennifer Blackwell, Eric Cohen, Basab Dattaray, Anna Leigh Davis, Rian Draeger, Arturo Garcia, John Michael Gray, Hari Hampapuram, Nathaniel David Heintzman, Lauren Hruby Jepson, Matthew Lawrence Johnson, Apurv Ullas Kamath, Katherine Yerre Koehler, Phil Mayou, Patrick Wile McBride, Michael Robert Mensinger, Sumitaka Mikami, Andrew Attila Pal, Nicholas Polytaridis, Philip Thomas Pupa, Eli Reihman, Peter C. Simpson, Tomas C. Walker, Daniel Justin Wiedeback, Subrai Girish Pai, Matthew T. Vogel
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Publication number: 20240415430Abstract: 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.Type: ApplicationFiled: June 11, 2024Publication date: December 19, 2024Inventors: Stephen J. Vanslyke, Naresh C. Bhavaraju, Sebastian Böhm, Leif Bowman, Michael J. Estes, Arturo Garcia, Apurv U Kamath, Andrew Attila Pal, Thomas A. Peyser, Anna Leigh Davis, Daiting Rong, Disha Sheth, Peter C Simpson, Dmytro Sokolovsky
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Patent number: 12154687Abstract: Systems and methods that continuously adapt aspects of a continuous monitoring device based on collected information to provide an individually tailored configuration are described. The adaptations may include adapting the user interface, the alerting, the motivational messages, the training, and the like. Such adaptation can allow a patient to more readily identify and understand the information provided by/via the device.Type: GrantFiled: December 8, 2020Date of Patent: November 26, 2024Assignee: Dexcom, Inc.Inventors: Phil Mayou, Naresh C. Bhavaraju, Leif N. Bowman, Alexandra Lynn Carlton, Laura J. Dunn, Katherine Yerre Koehler, Aarthi Mahalingam, Eli Reihman, Peter C. Simpson
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Patent number: 12144612Abstract: 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: GrantFiled: December 18, 2015Date of Patent: November 19, 2024Assignee: Dexcom, Inc.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
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Patent number: 12144611Abstract: 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: GrantFiled: September 22, 2015Date of Patent: November 19, 2024Assignee: Dexcom, Inc.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
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Publication number: 20240370162Abstract: A system, a method, and a computer program product for providing wearable continuous blood glucose monitoring. In some embodiments, there is provided a method that includes receiving, at a smartwatch, an alert representative of a glucose state of a host-patient coupled to a glucose sensor; detecting, at the smartwatch, a predetermined action indicative of a request to generate a glance view providing an indication of the glucose state of the host-patient; and presenting, at the smartwatch and in response to the detecting, the glance view providing the indication of the glucose state of the host-patient.Type: ApplicationFiled: July 12, 2024Publication date: November 7, 2024Inventors: Naresh C. Bhavaraju, Eric Cohen, Arturo Garcia, Katherine Yerre Koehler, Michael Robert Mensinger, Eli Reihman, Brian Christopher Smith, Peter Hedlund, Esteban Cabrera, JR.
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Publication number: 20240341645Abstract: 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: ApplicationFiled: April 4, 2024Publication date: October 17, 2024Inventors: Rui Ma, Naresh C. Bhavaraju, Thomas Hamilton, Johathan M. Hughes, Jeff Jackson, David Lee, Peter C. Simpson, Stephen J. Vanslyke
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Publication number: 20240296948Abstract: Methods and apparatus, including computer program products, are provided for processing analyte data. In some example implementations, a method may include generating glucose sensor data indicative of a host's glucose concentration using a glucose sensor; calculating a glycemic variability index (GVI) value based on the glucose sensor data; and providing output to a user responsive to the calculated glycemic variability index value. The GVI may be a ratio of a length of a line representative of the sensor data and an ideal length of the line. Related systems, methods, and articles of manufacture are also disclosed.Type: ApplicationFiled: May 13, 2024Publication date: September 5, 2024Inventors: Naresh C. BHAVARAJU, Arturo GARCIA, Phil MAYOU, Thomas A. PEYSER, Apurv Ullas KAMATH, Aarthi MAHALINGAM, Kevin SAYER, Thomas HALL, Michael Robert MENSINGER, Hari HAMPAPURAM, David PRICE, Jorge VALDES, Murrad KAZALBASH
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Patent number: 12073075Abstract: A system, a method, and a computer program product for providing wearable continuous blood glucose monitoring. In some embodiments, there is provided a method that includes receiving, at a smartwatch, an alert representative of a glucose state of a host-patient coupled to a glucose sensor; detecting, at the smartwatch, a predetermined action indicative of a request to generate a glance view providing an indication of the glucose state of the host-patient; and presenting, at the smartwatch and in response to the detecting, the glance view providing the indication of the glucose state of the host-patient.Type: GrantFiled: May 13, 2020Date of Patent: August 27, 2024Assignee: Dexcom, Inc.Inventors: Naresh C. Bhavaraju, Eric Cohen, Arturo Garcia, Katherine Yerre Koehler, Michael Robert Mensinger, Eli Reihman, Brian Christopher Smith, Peter Hedlund, Esteban Cabrera, Jr.
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Publication number: 20240282426Abstract: Systems and methods are disclosed that employ several or numerous factors in the determination of a glycemic urgency index (GUI), which may be based on a measured blood glucose level as well as other factors. The other factors may include time derivatives of the glucose level and/or other factors, e.g., user-entered data, data measured by other sensors or received from a network source, or historical data. The GUI is then presented to the user in an interesting way, e.g., via a background color or other inconspicuous notifier, e.g., on a mobile device such as a smart phone. The GUI may also be employed in the triggering of actionable alerts and alarms on an electronic device for the user. The GUI, or another index calculated from combinations of the variables and parameters described, may further be employed to drive a medicament delivery device such as a pump.Type: ApplicationFiled: April 22, 2024Publication date: August 22, 2024Inventors: Anna Leigh Davis, Hari Hampapuram, Apurv Ullas Kamath, Eli Reihman, Leif N. Bowman, Arturo Garcia, Katherine Yerre Koehler, Naresh C. Bhavaraju, Rian Draeger, Paul Kramer, Paul Noble-Campbell
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Patent number: 12048540Abstract: 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.Type: GrantFiled: January 29, 2019Date of Patent: July 30, 2024Assignee: Dexcom, Inc.Inventors: Stephen J. Vanslyke, Naresh C. Bhavaraju, Sebastian Böhm, Leif N. Bowman, Michael J. Estes, Arturo Garcia, Apurv Ullas Kamath, Andrew Attila Pal, Thomas A. Peyser, Anna Leigh Davis, Daiting Rong, Disha B. Sheth, Peter C. Simpson, Dmytro Sokolovsky
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Patent number: 12014821Abstract: Methods and apparatus, including computer program products, are provided for processing analyte data. In some example implementations, a method may include generating glucose sensor data indicative of a host's glucose concentration using a glucose sensor; calculating a glycemic variability index (GVI) value based on the glucose sensor data; and providing output to a user responsive to the calculated glycemic variability index value. The GVI may be a ratio of a length of a line representative of the sensor data and an ideal length of the line. Related systems, methods, and articles of manufacture are also disclosed.Type: GrantFiled: February 1, 2023Date of Patent: June 18, 2024Assignee: Dexcom, Inc.Inventors: Naresh C. Bhavaraju, Arturo Garcia, Phil Mayou, Thomas A. Peyser, Apurv Ullas Kamath, Aarthi Mahalingam, Kevin Sayer, Thomas Hall, Michael Robert Mensinger, Hari Hampapuram, David Price, Jorge Valdes, Murrad Kazalbash
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Publication number: 20240180425Abstract: 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: ApplicationFiled: December 1, 2023Publication date: June 6, 2024Inventors: Arturo Garcia, Peter C Simpson, Apurv U Kamath, Naresh C. Bhavaraju, Stephen J. Vanslyke
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Publication number: 20240175861Abstract: 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: ApplicationFiled: December 6, 2023Publication date: May 30, 2024Inventors: Naresh C. Bhavaraju, Arturo Garcia, Hari Hampapuram, Apurv U. Kamath, Aarthi Mahalingam, Dmytro Sokolovsky, Stephen J. Vanslyke
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Publication number: 20240148284Abstract: Machine learning in an artificial pancreas is described. An artificial pancreas system may include a wearable glucose monitoring device, an insulin delivery system, and a computing device. Broadly speaking, the wearable glucose monitoring device provides glucose measurements of a person continuously. The artificial pancreas algorithm, which may be implemented at the computing device, determines doses of insulin to deliver to the person based on a variety of aspects for the purpose of maintaining the person's glucose within a target range, as indicated by those glucose measurements. The insulin delivery system then delivers those determined doses to the person. As the artificial pancreas algorithm determines insulin doses for the person over time and effectiveness of the insulin doses to maintain the person's glucose level in the target range is observed, an underlying model of the artificial pancreas algorithm may be updated to better determine insulin doses.Type: ApplicationFiled: November 28, 2023Publication date: May 9, 2024Inventors: Derek James Escobar, Naresh C. Bhavaraju, Gary A. Morris, Jorge Valdes
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Patent number: 11974845Abstract: 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: GrantFiled: July 6, 2021Date of Patent: May 7, 2024Assignee: 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
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Publication number: 20240071593Abstract: 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: ApplicationFiled: October 24, 2023Publication date: February 29, 2024Inventors: Anna Leigh DAVIS, Scott M. BELLIVEAU, Naresh C. BHAVARAJU, Leif N. BOWMAN, Rita M. CASTILLO, Alexandra Elena CONSTANTIN, Rian W. 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 S. SMITH, Stephen J. VANSLYKE, Matthew T. VOGEL, Tomas C. WALKER, Benjamin Elrod WEST, Atiim Joseph WILEY