Patents by Inventor Srinivasan Rajaraman

Srinivasan Rajaraman 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: 20240041368
    Abstract: A method and transceiver for calibrating an analyte sensor using one or more reference measurements. In some embodiments, the method may include receiving a first reference analyte measurement (RM1) and determining whether the RM1 is unexpected. In some embodiments, the method may include, if the RM1 was determined to be unexpected, receiving a second reference analyte measurement (RM2). In some embodiments, the method may include determining whether one or more of the RM1 and the RM2 are acceptable as calibration points. In some embodiments, the method may include, if one or more of the RM1 and the RM2 are determined to be acceptable as calibration points, accepting one or more of the RM1 and the RM2 as calibration points. In some embodiments, the method may include calibrating the analyte sensor using at least one or more of the RM1 and the RM2 as calibration points.
    Type: Application
    Filed: August 14, 2023
    Publication date: February 8, 2024
    Applicant: Senseonics, Incorporated
    Inventors: Xiaoxiao Chen, Andrew Dehennis, Srinivasan Rajaraman
  • Patent number: 11723565
    Abstract: A method and transceiver for calibrating an analyte sensor using one or more reference measurements. In some embodiments, the method may include receiving a first reference analyte measurement (RM1) and determining whether the RM1 is unexpected. In some embodiments, the method may include, if the RM1 was determined to be unexpected, receiving a second reference analyte measurement (RM2). In some embodiments, the method may include determining whether one or more of the RM1 and the RM2 are acceptable as calibration points. In some embodiments, the method may include, if one or more of the RM1 and the RM2 are determined to be acceptable as calibration points, accepting one or more of the RM1 and the RM2 as calibration points. In some embodiments, the method may include calibrating the analyte sensor using at least one or more of the RM1 and the RM2 as calibration points.
    Type: Grant
    Filed: June 15, 2018
    Date of Patent: August 15, 2023
    Assignee: Senseonics, Incorporated
    Inventors: Xiaoxiao Chen, Andrew Dehennis, Srinivasan Rajaraman
  • Publication number: 20210383147
    Abstract: A method and system for translating fiducial points in multispectral imagery includes capturing a first image of an object by a first imaging device in a first spectral domain, the first spectral domain being the visible spectrum; capturing a second image of the object by a second imaging device in the first spectral domain; capturing a third image of the object by a third imaging device in a second spectral domain, the second spectral domain being outside the visible spectrum; determining three-dimensional location information of one or more fiducial points of the object based on the first and second visible spectrum images; projecting the one or more fiducial points from the three-dimensional image of the object onto an two-dimensional image plane of the third image; and translating the location of the one or more fiducial points of the object from first and second visible spectrum images to the third image.
    Type: Application
    Filed: June 8, 2020
    Publication date: December 9, 2021
    Applicant: Booz Allen Hamilton Inc.
    Inventors: Srinivasan RAJARAMAN, Nathaniel Jackson SHORT, Shuowen HU, Matthew THIELKE, Robert NGUYEN
  • Patent number: 10943099
    Abstract: A computer-implemented method for classifying an input data set within a data category using multiple data representation modes. The method includes identifying at least a first data representation source mode and a second data representation source mode; classifying the at least first data representation source mode via at least a first data recognition tool and the at least second data representation source mode via at least a second data recognition tool, the classifying including allocating a confidence factor for each data representation source mode in the data category; and combining outputs of the classifying into a single output confidence score by using a weighted fusion of the allocated confidence factors.
    Type: Grant
    Filed: February 14, 2020
    Date of Patent: March 9, 2021
    Assignee: BOOZ ALLEN HAMILTON INC.
    Inventors: Nathaniel Jackson Short, Srinivasan Rajaraman, Jonathan M. Levitt
  • Publication number: 20200302157
    Abstract: A computer-implemented method for classifying an input data set within a data category using multiple data representation modes. The method includes identifying at least a first data representation source mode and a second data representation source mode; classifying the at least first data representation source mode via at least a first data recognition tool and the at least second data representation source mode via at least a second data recognition tool, the classifying including allocating a confidence factor for each data representation source mode in the data category; and combining outputs of the classifying into a single output confidence score by using a weighted fusion of the allocated confidence factors.
    Type: Application
    Filed: February 14, 2020
    Publication date: September 24, 2020
    Applicant: BOOZ ALLEN HAMILTON INC.
    Inventors: Nathaniel Jackson SHORT, Srinivasan RAJARAMAN, Jonathan M. LEVITT
  • Publication number: 20180360356
    Abstract: A method and transceiver for calibrating an analyte sensor using one or more reference measurements. In some embodiments, the method may include receiving a first reference analyte measurement (RM1) and determining whether the RM1 is unexpected. In some embodiments, the method may include, if the RM1 was determined to be unexpected, receiving a second reference analyte measurement (RM2). In some embodiments, the method may include determining whether one or more of the RM1 and the RM2 are acceptable as calibration points. In some embodiments, the method may include, if one or more of the RM1 and the RM2 are determined to be acceptable as calibration points, accepting one or more of the RM1 and the RM2 as calibration points. In some embodiments, the method may include calibrating the analyte sensor using at least one or more of the RM1 and the RM2 as calibration points.
    Type: Application
    Filed: June 15, 2018
    Publication date: December 20, 2018
    Applicant: Senseonics, Incorporated
    Inventors: Xiaoxiao Chen, Andrew Dehennis, Srinivasan Rajaraman
  • Publication number: 20110160555
    Abstract: An embodiment of the invention provides a system for predicting future glucose levels in an individual including a glucose measuring device for generating glucose signals representing glucose levels obtained from the individual at fixed time intervals and an analyzer. The analyzer uses a glucose prediction function that is portable between individuals irrespective of health of the individuals. The glucose prediction function includes model coefficients that are invariant between the individuals. The glucose prediction function outputs the future glucose levels by weighing the previous glucose signals obtained from the individual by the model coefficients.
    Type: Application
    Filed: July 31, 2009
    Publication date: June 30, 2011
    Inventors: Jacques Reifman, Adiwinata Gani, Andrei Gribok, Srinivasan Rajaraman
  • Patent number: 5484707
    Abstract: Methods of monitoring and detecting the early onset of organ injury incident rejection of a organ rejection in an animal are disclosed. The described methods are capable of distinguishing organ rejection injury from other organ tissue damage in the animal. Free secretory component levels in an animal biological fluid (e.g., bile, urine, blood, amniotic fluid) may be used to identify organ rejection in an animal. Multiple and single organ transplant patients may be monitored and diagnosed according to the claimed methods. Biological fluids, such as blood, (serum) or urine, are analyzed immunologically using a particularly adapted ELISA which are then compared to an FSC control concentration to identify elevated FSC values. Animals with test FSC above FSC control concentrations are diagnosed as having an ongoing organ rejection episode. The detection of congenital renal dysfunction in utero is also provided according to the present invention through the measurement of FSC in the amniotic fluid.
    Type: Grant
    Filed: December 28, 1993
    Date of Patent: January 16, 1996
    Assignee: The Board of Regents, The University of Texas System
    Inventors: Randall M. Goldblum, Srinivasan Rajaraman
  • Patent number: 5340721
    Abstract: Methods of monitoring and detecting the early onset of organ injury incident rejection of an organ rejection in an animal are disclosed. The described methods are capable of distinguishing organ rejection injury from other organ tissue damage in the animal. Free secretory component levels in an animal biological fluid (e.g., bile, urine, blood, amniotic fluid) may be used to identify organ rejection in an animal. Multiple and single organ transplant patients may be monitored and diagnosed according to the claimed methods. Biological fluids, such as blood, (serum) or urine, are analyzed immunologically using a particularly adapted ELISA which are then compared to an FSC control concentration to identify elevated FSC values. Animals with test FSC above FSC control concentrations are diagnosed as having an ongoing organ rejection episode. The detection of congenital renal dysfunction in utero is also provided according to the present invention through the measurement of FSC in the amniotic fluid.
    Type: Grant
    Filed: July 26, 1991
    Date of Patent: August 23, 1994
    Assignee: Board of Regents, The University of Texas System
    Inventors: Randall M. Goldblum, Srinivasan Rajaraman