Patents by Inventor Peter C. Simpson

Peter C. Simpson 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).

  • Patent number: 11154253
    Abstract: Disclosed are systems and methods for generating graphical displays of analyte data and/or health information. In some implementations, the graphical displays are generating based on a self-referential dataset that are modifiable based on identified portions of the data. The modified graphical displays can indicate features in the analyte data of a host.
    Type: Grant
    Filed: August 10, 2017
    Date of Patent: October 26, 2021
    Assignee: DexCom, Inc.
    Inventors: Esteban Cabrera, Jr., Lauren Danielle Armenta, Scott M. Belliveau, Jennifer Blackwell, Leif N. Bowman, Rian Draeger, Arturo Garcia, Timothy Joseph Goldsmith, John Michael Gray, Andrea Jean Jackson, Apurv Ullas Kamath, Katherine Yerre Koehler, Paul Kramer, Aditya Sagar Mandapaka, Michael Robert Mensinger, Sumitaka Mikami, Gary A. Morris, Hemant Mahendra Nirmal, Paul Noble-Campbell, Philip Thomas Pupa, Eli Reihman, Peter C. Simpson, Brian Christopher Smith, Atiim Joseph Wiley
  • Patent number: 11141116
    Abstract: Disclosed are systems and methods for generating graphical displays of analyte data and/or health information. In some implementations, the graphical displays are generating based on a self-referential dataset that are modifiable based on identified portions of the data. The modified graphical displays can indicate features in the analyte data of a host.
    Type: Grant
    Filed: August 10, 2017
    Date of Patent: October 12, 2021
    Assignee: DexCom, Inc.
    Inventors: Esteban Cabrera, Jr., Lauren Danielle Armenta, Scott M. Belliveau, Jennifer Blackwell, Leif N. Bowman, Rian Draeger, Arturo Garcia, Timothy Joseph Goldsmith, John Michael Gray, Andrea Jean Jackson, Apurv Ullas Kamath, Katherine Yerre Koehler, Paul Kramer, Aditya Sagar Mandapaka, Michael Robert Mensinger, Sumitaka Mikami, Gary A. Morris, Hemant Mahendra Nirmal, Paul Noble-Campbell, Philip Thomas Pupa, Eli Reihman, Peter C. Simpson, Brian Christopher Smith, Atiim Joseph Wiley
  • Publication number: 20210307693
    Abstract: The present embodiments relate generally to applicators of on-skin sensor assemblies for measuring an analyte in a host, as well as their method of use and manufacture. In some aspects, an applicator for applying an on-skin sensor assembly to a skin of a host is provided. The applicator includes an applicator housing, a needle carrier assembly comprising an insertion element configured to insert a sensor of the on-skin sensor assembly into the skin of the host, a holder releasably coupled to the needle carrier assembly and configured to guide the on-skin sensor assembly while coupled to the needle carrier assembly, and a drive assembly configured to drive the insertion element from a proximal starting position to a distal insertion position, and from the distal insertion position to a proximal retraction position.
    Type: Application
    Filed: June 14, 2021
    Publication date: October 7, 2021
    Inventors: John Michael Gray, Jennifer Blackwell, Paul V. Neale, Justen Deering England, Andrew Joncich, Cameron Brock, Peter C. Simpson, Thomas Metzmaker, Neel Narayan Shah, Mark Douglas Kempkey, Patrick John Castagna, Warren Terry, Jason Halac, Christian Michael Andre George, Daniel E. Apacible, John Charles Barry, Maria Noel Brown Wells, Kenneth Pirondini, Andrew Michael Reinhardt, Jason C. Wong, Remy E. Gagnon, David DeRenzy, Randall Scott Koplin, Alan Baldwin, Young Woo Lee, David A. Keller, Louise Emma van den Heuvel, Carol Wood Sutherland
  • Publication number: 20210307694
    Abstract: The present embodiments relate generally to applicators of on-skin sensor assemblies for measuring an analyte in a host, as well as their method of use and manufacture. In some aspects, an applicator for applying an on-skin sensor assembly to a skin of a host is provided. The applicator includes an applicator housing, a needle carrier assembly comprising an insertion element configured to insert a sensor of the on-skin sensor assembly into the skin of the host, a holder releasably coupled to the needle carrier assembly and configured to guide the on-skin sensor assembly while coupled to the needle carrier assembly, and a drive assembly configured to drive the insertion element from a proximal starting position to a distal insertion position, and from the distal insertion position to a proximal retraction position.
    Type: Application
    Filed: June 14, 2021
    Publication date: October 7, 2021
    Inventors: John Michael Gray, Jennifer Blackwell, Paul V. Neale, Justen Deering England, Andrew Joncich, Cameron Brock, Peter C. Simpson, Thomas Metzmaker, Neel Narayan Shah, Mark Douglas Kempkey, Patrick John Castagna, Warren Terry, Jason Halac, Christian Michael Andre George, Daniel E. Apacible, John Charles Barry, Maria Noel Brown Wells, Kenneth Pirondini, Andrew Michael Reinhardt, Jason C. Wong, Remy E. Gagnon, David DeRenzy, Randall Scott Koplin, Alan Baldwin, Young Woo Lee, David A. Keller, Louise Emma van den Heuvel, Carol Wood Sutherland
  • Publication number: 20210307695
    Abstract: Pre-connected analyte sensors are provided. A pre-connected analyte sensor includes a sensor carrier attached to an analyte sensor. The sensor carrier includes a substrate configured for mechanical coupling of the sensor to testing, calibration, or wearable equipment. The sensor carrier also includes conductive contacts for electrically coupling sensor electrodes to the testing, calibration, or wearable equipment.
    Type: Application
    Filed: June 16, 2021
    Publication date: October 7, 2021
    Inventors: Jason Halac, John Charles Barry, Becky L. Clark, Chris W. Dring, John Michael Gray, Kris Elliot Higley, Jeff Jackson, David A. Keller, Ted Tang Lee, Jason Mitchell, Kenneth Pirondini, David Rego, Ryan Everett Schoonmaker, Peter C. Simpson, Craig Thomas Gadd, Kyle Thomas Stewart, John Stanley Hayes
  • Publication number: 20210307657
    Abstract: Pre-connected analyte sensors are provided. A pre-connected analyte sensor includes a sensor carrier attached to an analyte sensor. The sensor carrier includes a substrate configured for mechanical coupling of the sensor to testing, calibration, or wearable equipment. The sensor carrier also includes conductive contacts for electrically coupling sensor electrodes to the testing, calibration, or wearable equipment.
    Type: Application
    Filed: June 16, 2021
    Publication date: October 7, 2021
    Inventors: Jason Halac, John Charles Barry, Becky L. Clark, Chris W. Dring, John Michael Gray, Kris Elliot Higley, Jeff Jackson, David A. Keller, Ted Tang Lee, Jason Mitchell, Kenneth Pirondini, David Rego, Ryan Everett Schoonmaker, Peter C. Simpson, Craig Thomas Gadd, Kyle Thomas Stewart, John Stanley Hayes
  • Patent number: 11134896
    Abstract: The present embodiments relate generally to applicators of on-skin sensor assemblies for measuring an analyte in a host, as well as their method of use and manufacture. In some aspects, an applicator for applying an on-skin sensor assembly to a skin of a host is provided. The applicator includes an applicator housing, a needle carrier assembly comprising an insertion element configured to insert a sensor of the on-skin sensor assembly into the skin of the host, a holder releasably coupled to the needle carrier assembly and configured to guide the on-skin sensor assembly while coupled to the needle carrier assembly, and a drive assembly configured to drive the insertion element from a proximal starting position to a distal insertion position, and from the distal insertion position to a proximal retraction position.
    Type: Grant
    Filed: March 12, 2021
    Date of Patent: October 5, 2021
    Assignee: DexCom, Inc.
    Inventors: John Michael Gray, Jennifer Blackwell, Paul V. Neale, Justen Deering England, Andrew Joncich, Cameron Brock, Peter C. Simpson, Thomas Metzmaker, Neel Narayan Shah, Mark Douglas Kempkey, Patrick John Castagna, Warren Terry, Jason Halac, Christian Michael Andre George, Daniel E. Apacible, John Charles Barry, Maria Noel Brown Wells, Kenneth Pirondini, Andrew Michael Reinhardt, Jason C. Wong, Remy E. Gagnon, David DeRenzy, Randall Scott Koplin, Alan Baldwin, Young Woo Lee, David A. Keller, Louise Emma van den Heuvel, Carol Wood Sutherland
  • Publication number: 20210306031
    Abstract: Systems and methods for processing, transmitting and displaying data received from an analyte sensor, such as a glucose sensor, are disclosed. In an embodiment, a method for transmitting data between a first communication device associated with an analyte sensor and a second communication device configured to provide user access to sensor-related information comprises: activating a transceiver of a first communication device associated with an analyte sensor at a first time; and establishing a two-way communication channel with the second communication device; wherein the activating comprises waking the transceiver from a low power sleep mode using a forced wakeup from the second communication device.
    Type: Application
    Filed: April 19, 2021
    Publication date: September 30, 2021
    Inventors: Thomas Miller, Mark Dervaes, Phong Lieu, Peter C. Simpson, Shawn Larvenz, Jacob S. Leach, Sebastian Bohm
  • Publication number: 20210290122
    Abstract: Pre-connected analyte sensors are provided. A pre-connected analyte sensor includes a sensor carrier attached to an analyte sensor. The sensor carrier includes a substrate configured for mechanical coupling of the sensor to testing, calibration, or wearable equipment. The sensor carrier also includes conductive contacts for electrically coupling sensor electrodes to the testing, calibration, or wearable equipment.
    Type: Application
    Filed: May 28, 2021
    Publication date: September 23, 2021
    Inventors: Jason Halac, John Charles Barry, Becky L. Clark, Chris W. Dring, John Michael Gray, Kris Elliot Higley, Jeff Jackson, David A. Keller, Ted Tang Lee, Jason Mitchell, Kenneth Pirondini, David Rego, Ryan Everett Schoonmaker, Peter C. Simpson, Craig Thomas Gadd, Kyle Thomas Stewart, John Stanley Hayes
  • Publication number: 20210290119
    Abstract: The present invention relates generally to systems and methods for measuring an analyte in a host. More particularly, the present invention relates to systems and methods for transcutaneous measurement of glucose in a host.
    Type: Application
    Filed: June 7, 2021
    Publication date: September 23, 2021
    Inventors: Peter C. Simpson, James H. Brauker, Mark C. Brister, Paul V. Goode, JR., Apurv Ullas Kamath, Aarthi Mahalingam, Jack Pryor, Matthew D. Wightlin, Victor Ha, Steve Masterson, Melissa A. Nicholas, John Nolting, James R. Petisce, Sean Saint, Vance Swanson, Kum Ming Woo
  • Publication number: 20210282674
    Abstract: Systems for applying a transcutaneous monitor to a person can include a telescoping assembly, a sensor, and a base with adhesive to couple the sensor to skin. The sensor can be located within the telescoping assembly while the base protrudes from a distal end of the system. The system can be configured to couple the sensor to the base by compressing the telescoping assembly.
    Type: Application
    Filed: March 12, 2021
    Publication date: September 16, 2021
    Inventors: Jason Halac, John Michael Gray, Neal Davis Johnston, Justen Deering England, Peter C. Simpson, Paul V. Neale, Jennifer Blackwell, Maria Noel Brown Wells, Kenneth Pirondini, Andrew Michael Reinhardt, Mark Douglas Kempkey
  • Publication number: 20210282682
    Abstract: Systems and methods of use for continuous analyte measurement of a host's vascular system are provided. In some embodiments, a continuous glucose measurement system includes a vascular access device, a sensor and sensor electronics, the system being configured for insertion into communication with a host's circulatory system.
    Type: Application
    Filed: May 28, 2021
    Publication date: September 16, 2021
    Inventors: Peter C. Simpson, Ying Li, Apurv Ullas Kamath, Richard C. Yang
  • Publication number: 20210275063
    Abstract: Sensor devices including dissolvable tissue-piercing tips are provided. The sensor devices can be used in conjunction with dissolvable needles configured for inserting the sensor devices into a host. Hardening agents for strengthening membranes on sensor devices are also provided. Methods of using and fabricating sensor devices are also provided.
    Type: Application
    Filed: January 22, 2021
    Publication date: September 9, 2021
    Inventors: Peter C. Simpson, Jennifer Blackwell, Sebastian Bohm, Michael J. Estes, Jeff Jackson, Jason Mitchell, Jack Pryor, Daiting Rong, Sean T. Saint, Disha B. Sheth, Shanger Wang
  • Publication number: 20210267506
    Abstract: Techniques for data analysis and user guidance are provided. One or more current measurements of one or more current analyte levels for the user are received from a sensor. A pattern is generated based on the one or more current measurements and the one or more past measurements. A first alignment with a first user target is then determined based on the pattern, where the first user target relates to one or more of a mental state or physical state of the user. A first result is output to the user, based on the determined first alignment.
    Type: Application
    Filed: March 1, 2021
    Publication date: September 2, 2021
    Inventors: Mark Edward Selander, Alexander Michael Diener, Ryan Richard Ruehl, Kazanna Calais Hames, Mark Douglas Kempkey, Chad Michael Patterson, Apurv Ullas Kamath, Matthew Lawrence Johnson, Jason M. Halac, David A. Price, Peter C. Simpson, Devon M. Headen, Samuel Isaac Epstein
  • Publication number: 20210259591
    Abstract: 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: Application
    Filed: December 7, 2020
    Publication date: August 26, 2021
    Inventors: Apurv Ullas Kamath, Derek James Escobar, Sumitaka Mikami, Hari Hampapuram, Benjamin Elrod West, Nathanael Paul, Naresh C. Bhavaraju, Michael Robert Mensinger, Gary A. Morris, Andrew Attila Pal, Eli Reihman, Scott M. Belliveau, Katherine Yerre Koehler, Nicholas Polytaridis, Rian Draeger, Jorge Valdes, David Price, Peter C. Simpson, Edward Sweeney
  • Publication number: 20210260288
    Abstract: 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: Application
    Filed: December 7, 2020
    Publication date: August 26, 2021
    Inventors: Apurv Ullas Kamath, Derek James Escobar, Sumitaka Mikami, Hari Hampapuram, Benjamin Elrod West, Nathanael Paul, Naresh C. Bhavaraju, Michael Robert Mensinger, Gary A. Morris, Andrew Attila Pal, Eli Reihman, Scott M. Belliveau, Katherine Yerre Koehler, Nicholas Polytaridis, Rian Draeger, Jorge Valdes, David Price, Peter C. Simpson, Edward Sweeney
  • Publication number: 20210260289
    Abstract: 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: Application
    Filed: December 7, 2020
    Publication date: August 26, 2021
    Inventors: Apurv Ullas Kamath, Derek James Escobar, Sumitaka Mikami, Hari Hampapuram, Benjamin Elrod West, Nathanael Paul, Naresh C. Bhavaraju, Michael Robert Mensinger, Gary A. Morris, Andrew Attila Pal, Eli Reihman, Scott M. Belliveau, Katherine Yerre Koehler, Nicholas Polytaridis, Rian Draeger, Jorge Valdes, David Price, Peter C. Simpson, Edward Sweeney
  • Publication number: 20210260286
    Abstract: 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: Application
    Filed: December 7, 2020
    Publication date: August 26, 2021
    Inventors: Apurv Ullas Kamath, Derek James Escobar, Sumitaka Mikami, Hari Hampapuram, Benjamin Elrod West, Nathanael Paul, Naresh C. Bhavaraju, Michael Robert Mensinger, Gary A. Morris, Andrew Attila Pal, Eli Reihman, Scott M. Belliveau, Katherine Yerre Koehler, Nicholas Polytaridis, Rian Draeger, Jorge Valdes, David Price, Peter C. Simpson, Edward Sweeney
  • Publication number: 20210260287
    Abstract: 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: Application
    Filed: December 7, 2020
    Publication date: August 26, 2021
    Inventors: Apurv Ullas Kamath, Derek James Escobar, Sumitaka Mikami, Hari Hampapuram, Benjamin Elrod West, Nathanael Paul, Naresh C. Bhavaraju, Michael Robert Mensinger, Gary A. Morris, Andrew Attila Pal, Eli Reihman, Scott M. Belliveau, Katherine Yerre Koehler, Nicholas Polytaridis, Rian Draeger, Jorge Valdes, David Price, Peter C. Simpson, Edward Sweeney
  • Publication number: 20210259587
    Abstract: Systems and methods of use for continuous analyte measurement of a host's vascular system are provided. In some embodiments, a continuous glucose measurement system includes a vascular access device, a sensor and sensor electronics, the system being configured for insertion into communication with a host's circulatory system.
    Type: Application
    Filed: May 10, 2021
    Publication date: August 26, 2021
    Inventors: Peter C. Simpson, Ying Li, Apurv Ullas Kamath, Richard C. Yang