Patents by Inventor Alexey Lyubushin

Alexey Lyubushin 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: 20230293025
    Abstract: A method, comprising receiving a time series of patient body signal, determining first and second sliding time windows for the time series; applying an autoregression algorithm, comprising: applying an autoregression analysis to each of the first and second windows, yielding autoregression coefficients and a residual variance for each window; estimating a parameter vector for each window based on the autoregression coefficients and residual variances; and determining a difference between the parameter vectors; and determining seizure onset and seizure termination based on the difference between the parameter vectors. A non-transitory computer readable program storage unit encoded with instructions that, when executed by a computer, perform the method.
    Type: Application
    Filed: May 26, 2023
    Publication date: September 21, 2023
    Applicant: Flint Hills Scientific, L.L.C.
    Inventors: Ivan Osorio, Alexey Lyubushin, Didier Sornette
  • Publication number: 20230270345
    Abstract: A method, comprising receiving a time series of patient body signal, determining first and second sliding time windows for the time series; applying an autoregression algorithm, comprising: applying an autoregression analysis to each of the first and second windows, yielding autoregression coefficients and a residual variance for each window; estimating a parameter vector for each window based on the autoregression coefficients and residual variances; and determining a difference between the parameter vectors; and determining seizure onset and seizure termination based on the difference between the parameter vectors. A non-transitory computer readable program storage unit encoded with instructions that, when executed by a computer, perform the method.
    Type: Application
    Filed: April 24, 2023
    Publication date: August 31, 2023
    Applicant: FLINT HILLS SCIENTIFIC, L.L.C
    Inventors: Ivan Osorio, Alexey Lyubushin, Didier Sornette
  • Patent number: 11672431
    Abstract: A method, comprising receiving a time series of patient body signal, determining first and second sliding time windows for the time series; applying an autoregression algorithm, comprising: applying an autoregression analysis to each of the first and second windows, yielding autoregression coefficients and a residual variance for each window; estimating a parameter vector for each window based on the autoregression coefficients and residual variances; and determining a difference between the parameter vectors; and determining seizure onset and seizure termination based on the difference between the parameter vectors. A non-transitory computer readable program storage unit encoded with instructions that, when executed by a computer, perform the method.
    Type: Grant
    Filed: December 7, 2019
    Date of Patent: June 13, 2023
    Assignee: FLINT HILLS SCIENTIFIC, L.L.C.
    Inventors: Ivan Osorio, Alexey Lyubushin, Didier Sornette
  • Patent number: 11638528
    Abstract: A method, comprising receiving a time series of patient body signal, determining first and second sliding time windows for the time series; applying an autoregression algorithm, comprising: applying an autoregression analysis to each of the first and second windows, yielding autoregression coefficients and a residual variance for each window; estimating a parameter vector for each window based on the autoregression coefficients and residual variances; and determining a difference between the parameter vectors; and determining seizure onset and seizure termination based on the difference between the parameter vectors. A non-transitory computer readable program storage unit encoded with instructions that, when executed by a computer, perform the method.
    Type: Grant
    Filed: February 16, 2019
    Date of Patent: May 2, 2023
    Assignee: Flint Hills Scientific, L.L.C.
    Inventors: Ivan Osorio, Alexey Lyubushin, Didier Sornette
  • Patent number: 11219374
    Abstract: A method, comprising receiving a time series of patient body signal, determining first and second sliding time windows for the time series; applying an autoregression algorithm, comprising: applying an autoregression analysis to each of the first and second windows, yielding autoregression coefficients and a residual variance for each window; estimating a parameter vector for each window based on the autoregression coefficients and residual variances; and determining a difference between the parameter vectors; and determining seizure onset and seizure termination based on the difference between the parameter vectors. A non-transitory computer readable program storage unit encoded with instructions that, when executed by a computer, perform the method.
    Type: Grant
    Filed: October 10, 2017
    Date of Patent: January 11, 2022
    Assignee: Flint Hills Scientific, L.L.C.
    Inventors: Ivan Osorio, Alexey Lyubushin, Didier Sornette
  • Publication number: 20210121081
    Abstract: Methods for detecting a seizure, by use of a wavelet transform maximum modulus (WTMM) algorithm applied to body data. A non-transitive, computer-readable storage device for storing data that when executed by a processor, perform such a method.
    Type: Application
    Filed: November 15, 2020
    Publication date: April 29, 2021
    Inventors: Ivan Osorio, Alexey Lyubushin, Didier Sornette
  • Patent number: 10835131
    Abstract: Methods for detecting a seizure, by use of a wavelet transform maximum modulus (WTMM) algorithm applied to body data. A non-transitive, computer-readable storage device for storing data that when executed by a processor, perform such a method.
    Type: Grant
    Filed: December 13, 2016
    Date of Patent: November 17, 2020
    Assignee: FLINT HILLS SCIENTIFIC, LLC.
    Inventors: Ivan Osorio, Alexey Lyubushin, Didier Sornette
  • Publication number: 20200253559
    Abstract: Methods, systems, and apparatus for determining probabilistic measures of seizure activity (PMSA) values based on a plurality of seizure detection algorithms and/or body signals used as inputs by the seizure detection algorithms. Use of the PMSA values to detect seizure activity based on a consensus of the algorithms and/or body signals, and/or warn, log, administer a therapy, or assess the efficacy of a therapy.
    Type: Application
    Filed: March 4, 2020
    Publication date: August 13, 2020
    Applicant: FLINT HILLS SCIENTIFIC, L.L.C.
    Inventors: Ivan Osorio, Alexey Lyubushin, Didier Sornette
  • Publication number: 20200107735
    Abstract: A method, comprising receiving a time series of patient body signal, determining first and second sliding time windows for the time series; applying an autoregression algorithm, comprising: applying an autoregression analysis to each of the first and second windows, yielding autoregression coefficients and a residual variance for each window; estimating a parameter vector for each window based on the autoregression coefficients and residual variances; and determining a difference between the parameter vectors; and determining seizure onset and seizure termination based on the difference between the parameter vectors. A non-transitory computer readable program storage unit encoded with instructions that, when executed by a computer, perform the method.
    Type: Application
    Filed: December 7, 2019
    Publication date: April 9, 2020
    Inventors: Ivan Osorio, Alexey Lyubushin, Didier Sornette
  • Patent number: 10595787
    Abstract: Methods, systems, and apparatus for determining probabilistic measures of seizure activity (PMSA) values based on a plurality of seizure detection algorithms and/or body signals used as inputs by the seizure detection algorithms. Use of the PMSA values to detect seizure activity based on a consensus of the algorithms and/or body signals, and/or warn, log, administer a therapy, or assess the efficacy of a therapy.
    Type: Grant
    Filed: August 29, 2012
    Date of Patent: March 24, 2020
    Assignee: Flint Hills Scientific, LLC
    Inventors: Ivan Osorio, Alexey Lyubushin, Didier Sornette
  • Patent number: 10537251
    Abstract: Methods for detecting a seizure, by use of a short term average/long term average (STA/LTA) algorithm applied to body data. A non-transitive, computer-readable storage device for storing data that when executed by a processor, perform such a method.
    Type: Grant
    Filed: July 26, 2012
    Date of Patent: January 21, 2020
    Assignee: FLINT HILLS SCIENTIFIC, L.L.C.
    Inventors: Ivan Osorio, Alexey Lyubushin, D. Sornette
  • Publication number: 20190175028
    Abstract: A method, comprising receiving a time series of patient body signal, determining first and second sliding time windows for the time series; applying an autoregression algorithm, comprising: applying an autoregression analysis to each of the first and second windows, yielding autoregression coefficients and a residual variance for each window; estimating a parameter vector for each window based on the autoregression coefficients and residual variances; and determining a difference between the parameter vectors; and determining seizure onset and seizure termination based on the difference between the parameter vectors. A non-transitory computer readable program storage unit encoded with instructions that, when executed by a computer, perform the method.
    Type: Application
    Filed: February 16, 2019
    Publication date: June 13, 2019
    Applicant: FLINT HILLS SCIENTIFIC, L.L.C.
    Inventors: Ivan Osorio, Alexey Lyubushin, Didier Sornette
  • Patent number: 10206591
    Abstract: A method, comprising receiving a time series of patient body signal, determining first and second sliding time windows for the time series; applying an autoregression algorithm, comprising: applying an autoregression analysis to each of the first and second windows, yielding autoregression coefficients and a residual variance for each window; estimating a parameter vector for each window based on the autoregression coefficients and residual variances; and determining a difference between the parameter vectors; and determining seizure onset and seizure termination based on the difference between the parameter vectors. A non-transitory computer readable program storage unit encoded with instructions that, when executed by a computer, perform the method.
    Type: Grant
    Filed: July 20, 2012
    Date of Patent: February 19, 2019
    Assignee: FLINT HILLS SCIENTIFIC, LLC
    Inventors: Ivan Osorio, Alexey Lyubushin, Didier Sornette
  • Publication number: 20180078150
    Abstract: A method, comprising receiving a time series of patient body signal, determining first and second sliding time windows for the time series; applying an autoregression algorithm, comprising: applying an autoregression analysis to each of the first and second windows, yielding autoregression coefficients and a residual variance for each window; estimating a parameter vector for each window based on the autoregression coefficients and residual variances; and determining a difference between the parameter vectors; and determining seizure onset and seizure termination based on the difference between the parameter vectors. A non-transitory computer readable program storage unit encoded with instructions that, when executed by a computer, perform the method.
    Type: Application
    Filed: October 10, 2017
    Publication date: March 22, 2018
    Applicant: FLINT HILLS SCIENTIFIC, L.L.C.
    Inventors: Ivan Osorio, Alexey Lyubushin, Didier Sornette
  • Publication number: 20170143273
    Abstract: Methods for detecting a seizure, by use of a wavelet transform maximum modulus (WTMM) algorithm applied to body data. A non-transitive, computer-readable storage device for storing data that when executed by a processor, perform such a method.
    Type: Application
    Filed: December 13, 2016
    Publication date: May 25, 2017
    Applicant: FLINT HILLS SCIENTIFIC, L.L.C.
    Inventors: Ivan Osorio, Alexey Lyubushin, Didier Sornette
  • Patent number: 9549677
    Abstract: Methods for detecting a seizure, by use of a wavelet transform maximum modulus (WTMM) algorithm applied to body data. A non-transitive, computer-readable storage device for storing data that when executed by a processor, perform such a method.
    Type: Grant
    Filed: July 20, 2012
    Date of Patent: January 24, 2017
    Assignee: FLINT HILLS SCIENTIFIC, L.L.C.
    Inventors: Ivan Osorio, Alexey Lyubushin, Didier Sornette
  • Publication number: 20130096393
    Abstract: Methods, systems, and apparatus for determining probabilistic measures of seizure activity (PMSA) values based on a plurality of seizure detection algorithms and/or body signals used as inputs by the seizure detection algorithms. Use of the PMSA values to detect seizure activity based on a consensus of the algorithms and/or body signals, and/or warn, log, administer a therapy, or assess the efficacy of a therapy.
    Type: Application
    Filed: August 29, 2012
    Publication date: April 18, 2013
    Applicant: FLINT HILLS SCIENTIFIC, L.L.C.
    Inventors: Ivan Osorio, Alexey Lyubushin, Didier Sornette
  • Publication number: 20130096839
    Abstract: Methods for detecting a seizure, by use of a wavelet transform maximum modulus (WTMM) algorithm applied to body data. A non-transitive, computer-readable storage device for storing data that when executed by a processor, perform such a method.
    Type: Application
    Filed: July 20, 2012
    Publication date: April 18, 2013
    Applicant: FLINT HILLS SCIENTIFIC, L.L.C.
    Inventors: Ivan Osorio, Alexey Lyubushin, Didier Sornette
  • Publication number: 20130096840
    Abstract: A method, comprising receiving a time series of patient body signal, determining first and second sliding time windows for the time series; applying an autoregression algorithm, comprising: applying an autoregression analysis to each of the first and second windows, yielding autoregression coefficients and a residual variance for each window; estimating a parameter vector for each window based on the autoregression coefficients and residual variances; and determining a difference between the parameter vectors; and determining seizure onset and seizure termination based on the difference between the parameter vectors. A non-transitory computer readable program storage unit encoded with instructions that, when executed by a computer, perform the method.
    Type: Application
    Filed: July 20, 2012
    Publication date: April 18, 2013
    Applicant: FLINT HILLS SCIENTIFIC, L.L.C.
    Inventors: Ivan Osorio, Alexey Lyubushin, Didier Sornette