Patents by Inventor Dmytro Sokolovsky

Dmytro Sokolovsky 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: 20190150803
    Abstract: 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: Application
    Filed: January 29, 2019
    Publication date: May 23, 2019
    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
  • Patent number: 10238323
    Abstract: 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: Grant
    Filed: May 20, 2015
    Date of Patent: March 26, 2019
    Assignee: 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 Rack-Gomer, Daiting Rong, Disha B. Sheth, Peter C. Simpson, Dmytro Sokolovsky
  • Patent number: 10238324
    Abstract: 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: Grant
    Filed: May 20, 2015
    Date of Patent: March 26, 2019
    Assignee: 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 Rack-Gomer, Daiting Rong, Disha B. Sheth, Peter C. Simpson, Dmytro Sokolovsky
  • Patent number: 10238322
    Abstract: 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: Grant
    Filed: May 20, 2015
    Date of Patent: March 26, 2019
    Assignee: 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 Rack-Gomer, Daiting Rong, Disha B. Sheth, Peter C. Simpson, Dmytro Sokolovsky
  • Patent number: 10231659
    Abstract: 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: Grant
    Filed: May 20, 2015
    Date of Patent: March 19, 2019
    Assignee: 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 Rack-Gomer, Daiting Rong, Disha B. Sheth, Peter C. Simpson, Dmytro Sokolovsky
  • Publication number: 20150351670
    Abstract: 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: Application
    Filed: May 20, 2015
    Publication date: December 10, 2015
    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 Rack-Gomer, Daiting Rong, Disha B. Sheth, Peter C. Simpson, Dmytro Sokolovsky
  • Publication number: 20150351672
    Abstract: 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: Application
    Filed: May 20, 2015
    Publication date: December 10, 2015
    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 Rack-Gomer, Daiting Rong, Disha B. Sheth, Peter C. Simpson, Dmytro Sokolovsky
  • Publication number: 20150351673
    Abstract: 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: Application
    Filed: May 20, 2015
    Publication date: December 10, 2015
    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 Rack-Gomer, Daiting Rong, Disha B. Sheth, Peter C. Simpson, Dmytro Sokolovsky
  • Publication number: 20150351671
    Abstract: 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: Application
    Filed: May 20, 2015
    Publication date: December 10, 2015
    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 Rack-Gomer, Daiting Rong, Disha B. Sheth, Peter C. Simpson, Dmytro Sokolovsky