Patents by Inventor Taly G. Engel

Taly G. Engel 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: 20190041345
    Abstract: Electrochemical impedance spectroscopy (EIS) may be used in conjunction with continuous glucose monitoring (CGM) to enable identification of valid and reliable sensor data, as well implementation of Smart Calibration algorithms.
    Type: Application
    Filed: October 11, 2018
    Publication date: February 7, 2019
    Inventors: KEITH NOGUEIRA, TALY G. ENGEL, XIAOLONG LI, BRADLEY C. LIANG, RAJIV SHAH, JAEHO KIM, MIKE C. LIU, ANDY Y. TSAI, ANDREA VARSAVSKY, FEI YU
  • Publication number: 20170181676
    Abstract: Electrochemical impedance spectroscopy (EIS) may be used in conjunction with continuous glucose monitoring (CGM) to enable identification of valid and reliable sensor data, as well implementation of Smart Calibration algorithms.
    Type: Application
    Filed: December 28, 2015
    Publication date: June 29, 2017
    Inventors: Keith Nogueira, Taly G. Engel, Raghavendhar Gautham, Xiaolong Li, Bradley C. Liang, Rajiv Shah, Jaeho Kim, Mike C. Liu, Andy Y. Tsai, Jeffrey Nishida
  • Publication number: 20170181673
    Abstract: Electrochemical impedance spectroscopy (EIS) may be used in conjunction with continuous glucose monitoring (CGM) to enable identification of valid and reliable sensor data, as well implementation of Smart Calibration algorithms.
    Type: Application
    Filed: December 28, 2015
    Publication date: June 29, 2017
    Inventors: Keith Nogueira, Taly G. Engel, Xiaolong Li, Bradley C. Liang, Rajiv Shah, Jaeho Kim, Mike C. Liu, Andy Y. Tsai
  • Publication number: 20170184527
    Abstract: Electrochemical impedance spectroscopy (EIS) may be used in conjunction with continuous glucose monitoring (CGM) to enable identification of valid and reliable sensor data, as well implementation of Smart Calibration algorithms.
    Type: Application
    Filed: December 28, 2015
    Publication date: June 29, 2017
    Inventors: Keith Nogueira, Taly G. Engel, Xiaolong Li, Bradley C. Liang, Rajiv Shah, Jaeho Kim, Mike C. Liu, Andy Y. Tsai, Andrea Varsavsky, Fei Yu
  • Publication number: 20170185733
    Abstract: A method for retrospective calibration of a glucose sensor uses stored values of measured working electrode current (Isig) to calculate a final sensor glucose (SG) value retrospectively. The Isig values may be preprocessed, discrete wavelet decomposition applied. At least one machine learning model, such as, e.g., Genetic Programming (GP) and Regression Decision Tree (DT), may be used to calculate SG values based on the Isig values and the discrete wavelet decomposition. Other inputs may include, e.g., counter electrode voltage (Vcntr) and Electrochemical Impedance Spectroscopy (EIS) data. A plurality of machine learning models may be used to generate respective SG values, which are then fused to generate a fused SG. Fused SG values may be filtered to smooth the data, and blanked if necessary.
    Type: Application
    Filed: December 28, 2015
    Publication date: June 29, 2017
    Inventors: Keith Nogueira, Taly G. Engel, Benyamin Grosman, Xiaolong Li, Bradley C. Liang, Rajiv Shah, Mike C. Liu, Andy Y. Tsai, Andrea Varsavsky, Jeffrey Nishida
  • Publication number: 20170181672
    Abstract: Electrochemical impedance spectroscopy (EIS) may be used in conjunction with continuous glucose monitoring (CGM) to enable identification of valid and reliable sensor data, as well implementation of Smart Calibration algorithms.
    Type: Application
    Filed: December 28, 2015
    Publication date: June 29, 2017
    Inventors: Keith Nogueira, Taly G. Engel, Xiaolong Li, Bradley C. Liang, Rajiv Shah, Mike C. Liu, Andy Y. Tsai