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).
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Publication number: 20230293025Abstract: 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: ApplicationFiled: May 26, 2023Publication date: September 21, 2023Applicant: Flint Hills Scientific, L.L.C.Inventors: Ivan Osorio, Alexey Lyubushin, Didier Sornette
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Publication number: 20230270345Abstract: 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: ApplicationFiled: April 24, 2023Publication date: August 31, 2023Applicant: FLINT HILLS SCIENTIFIC, L.L.CInventors: Ivan Osorio, Alexey Lyubushin, Didier Sornette
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Patent number: 11672431Abstract: 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: GrantFiled: December 7, 2019Date of Patent: June 13, 2023Assignee: FLINT HILLS SCIENTIFIC, L.L.C.Inventors: Ivan Osorio, Alexey Lyubushin, Didier Sornette
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Patent number: 11638528Abstract: 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: GrantFiled: February 16, 2019Date of Patent: May 2, 2023Assignee: Flint Hills Scientific, L.L.C.Inventors: Ivan Osorio, Alexey Lyubushin, Didier Sornette
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Patent number: 11219374Abstract: 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: GrantFiled: October 10, 2017Date of Patent: January 11, 2022Assignee: Flint Hills Scientific, L.L.C.Inventors: Ivan Osorio, Alexey Lyubushin, Didier Sornette
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Publication number: 20210121081Abstract: 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: ApplicationFiled: November 15, 2020Publication date: April 29, 2021Inventors: Ivan Osorio, Alexey Lyubushin, Didier Sornette
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Patent number: 10835131Abstract: 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: GrantFiled: December 13, 2016Date of Patent: November 17, 2020Assignee: FLINT HILLS SCIENTIFIC, LLC.Inventors: Ivan Osorio, Alexey Lyubushin, Didier Sornette
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Publication number: 20200253559Abstract: 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: ApplicationFiled: March 4, 2020Publication date: August 13, 2020Applicant: FLINT HILLS SCIENTIFIC, L.L.C.Inventors: Ivan Osorio, Alexey Lyubushin, Didier Sornette
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Publication number: 20200107735Abstract: 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: ApplicationFiled: December 7, 2019Publication date: April 9, 2020Inventors: Ivan Osorio, Alexey Lyubushin, Didier Sornette
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Patent number: 10595787Abstract: 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: GrantFiled: August 29, 2012Date of Patent: March 24, 2020Assignee: Flint Hills Scientific, LLCInventors: Ivan Osorio, Alexey Lyubushin, Didier Sornette
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Patent number: 10537251Abstract: 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: GrantFiled: July 26, 2012Date of Patent: January 21, 2020Assignee: FLINT HILLS SCIENTIFIC, L.L.C.Inventors: Ivan Osorio, Alexey Lyubushin, D. Sornette
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Publication number: 20190175028Abstract: 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: ApplicationFiled: February 16, 2019Publication date: June 13, 2019Applicant: FLINT HILLS SCIENTIFIC, L.L.C.Inventors: Ivan Osorio, Alexey Lyubushin, Didier Sornette
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Patent number: 10206591Abstract: 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: GrantFiled: July 20, 2012Date of Patent: February 19, 2019Assignee: FLINT HILLS SCIENTIFIC, LLCInventors: Ivan Osorio, Alexey Lyubushin, Didier Sornette
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Publication number: 20180078150Abstract: 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: ApplicationFiled: October 10, 2017Publication date: March 22, 2018Applicant: FLINT HILLS SCIENTIFIC, L.L.C.Inventors: Ivan Osorio, Alexey Lyubushin, Didier Sornette
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Publication number: 20170143273Abstract: 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: ApplicationFiled: December 13, 2016Publication date: May 25, 2017Applicant: FLINT HILLS SCIENTIFIC, L.L.C.Inventors: Ivan Osorio, Alexey Lyubushin, Didier Sornette
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Patent number: 9549677Abstract: 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: GrantFiled: July 20, 2012Date of Patent: January 24, 2017Assignee: FLINT HILLS SCIENTIFIC, L.L.C.Inventors: Ivan Osorio, Alexey Lyubushin, Didier Sornette
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Publication number: 20130096393Abstract: 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: ApplicationFiled: August 29, 2012Publication date: April 18, 2013Applicant: FLINT HILLS SCIENTIFIC, L.L.C.Inventors: Ivan Osorio, Alexey Lyubushin, Didier Sornette
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Publication number: 20130096839Abstract: 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: ApplicationFiled: July 20, 2012Publication date: April 18, 2013Applicant: FLINT HILLS SCIENTIFIC, L.L.C.Inventors: Ivan Osorio, Alexey Lyubushin, Didier Sornette
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Publication number: 20130096840Abstract: 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: ApplicationFiled: July 20, 2012Publication date: April 18, 2013Applicant: FLINT HILLS SCIENTIFIC, L.L.C.Inventors: Ivan Osorio, Alexey Lyubushin, Didier Sornette