公开(公告)号：US20230270345A1

公开(公告)日：2023-08-31

申请号：US18138218

申请日：2023-04-24

Applicant: Ivan Osorio ,  Alexey Lyubushin ,  Didier Sornette

Inventor： Ivan Osorio ,  Alexey Lyubushin ,  Didier Sornette

IPC: A61B5/0205 ,  A61B5/16 ,  A61B5/00 ,  A61B5/374

CPC classification number: A61B5/02055 ,  A61B5/0205 ,  A61B5/165 ,  A61B5/374 ,  A61B5/4094 ,  A61B5/4836 ,  A61B5/726 ,  A61B5/746 ,  A61B5/024

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.

公开(公告)号：US20180078150A1

公开(公告)日：2018-03-22

申请号：US15729168

申请日：2017-10-10

Applicant: Ivan Osorio ,  Alexey Lyubushin ,  Didier Sornette

Inventor： Ivan Osorio ,  Alexey Lyubushin ,  Didier Sornette

IPC: A61B5/0205 ,  A61B5/00 ,  A61B5/048 ,  A61B5/04 ,  A61B5/0476 ,  A61B5/024 ,  A61B5/11 ,  A61B5/08

CPC classification number: A61B5/02055 ,  A61B5/0205 ,  A61B5/024 ,  A61B5/04001 ,  A61B5/0476 ,  A61B5/048 ,  A61B5/0816 ,  A61B5/0833 ,  A61B5/1118 ,  A61B5/14542 ,  A61B5/16 ,  A61B5/165 ,  A61B5/4094 ,  A61B5/4836 ,  A61B5/726 ,  A61B5/746

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.

公开(公告)号：US10537251B2

公开(公告)日：2020-01-21

申请号：US13559116

申请日：2012-07-26

Applicant: Ivan Osorio ,  Alexey Lyubushin ,  D. Sornette

Inventor： Ivan Osorio ,  Alexey Lyubushin ,  D. Sornette

IPC: G01N33/50 ,  A61B5/0205 ,  A61B5/16 ,  A61B5/048 ,  A61B5/00 ,  A61B5/024 ,  A61B5/0476 ,  A61B5/04 ,  A61B5/08 ,  A61B5/11 ,  A61B5/083 ,  A61B5/145

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.

公开(公告)号：US20210121081A1

公开(公告)日：2021-04-29

申请号：US17098391

申请日：2020-11-15

Applicant: Ivan Osorio ,  Alexey Lyubushin ,  Didier Sornette

Inventor： Ivan Osorio ,  Alexey Lyubushin ,  Didier Sornette

IPC: A61B5/0205 ,  A61B5/16 ,  A61B5/00 ,  A61B5/374

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.

公开(公告)号：US10595787B2

公开(公告)日：2020-03-24

申请号：US13598339

申请日：2012-08-29

Applicant: Ivan Osorio ,  Alexey Lyubushin ,  Didier Sornette

Inventor： Ivan Osorio ,  Alexey Lyubushin ,  Didier Sornette

IPC: A61B5/00 ,  A61B5/048

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.

公开(公告)号：US20130096840A1

公开(公告)日：2013-04-18

申请号：US13554694

申请日：2012-07-20

Applicant: Ivan Osorio ,  Alexey Lyubushin ,  Didier Sornette

Inventor： Ivan Osorio ,  Alexey Lyubushin ,  Didier Sornette

IPC: G06F19/00

CPC classification number: A61B5/02055 ,  A61B5/0205 ,  A61B5/024 ,  A61B5/04001 ,  A61B5/0476 ,  A61B5/048 ,  A61B5/0816 ,  A61B5/0833 ,  A61B5/1118 ,  A61B5/14542 ,  A61B5/16 ,  A61B5/4094 ,  A61B5/4836 ,  A61B5/726 ,  A61B5/746

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.

Abstract translation: 一种方法，包括接收患者体信号的时间序列，确定所述时间序列的第一和第二滑动时间窗口; 应用自回归算法，包括：对第一和第二窗口中的每一个应用自回归分析，产生每个窗口的自回归系数和残差方差; 基于自回归系数和剩余方差估计每个窗口的参数向量; 并确定参数矢量之间的差; 并根据参数向量之间的差异来确定发作发作和发作终止。 一种非暂时性计算机可读程序存储单元，其编码有当由计算机执行时执行该方法的指令。

公开(公告)号：US20230293025A1

公开(公告)日：2023-09-21

申请号：US18202414

申请日：2023-05-26

Applicant: Ivan Osorio ,  Alexey Lyubushin ,  Didier Sornette

Inventor： Ivan Osorio ,  Alexey Lyubushin ,  Didier Sornette

IPC: A61B5/0205 ,  A61B5/16 ,  A61B5/00 ,  A61B5/374

CPC classification number: A61B5/02055 ,  A61B5/165 ,  A61B5/4094 ,  A61B5/374 ,  A61B5/726 ,  A61B5/0205 ,  A61B5/4836 ,  A61B5/746 ,  A61B5/024

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.

公开(公告)号：US20200253559A1

公开(公告)日：2020-08-13

申请号：US16808814

申请日：2020-03-04

Applicant: Ivan Osorio ,  Alexey Lyubushin ,  Didier Sornette

Inventor： Ivan Osorio ,  Alexey Lyubushin ,  Didier Sornette

IPC: A61B5/00 ,  A61B5/048

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.

公开(公告)号：US20190175028A1

公开(公告)日：2019-06-13

申请号：US16278064

申请日：2019-02-16

Applicant: Ivan Osorio ,  Alexey Lyubushin ,  Didier Sornette

Inventor： Ivan Osorio ,  Alexey Lyubushin ,  Didier Sornette

IPC: A61B5/0205 ,  A61B5/00 ,  A61B5/048

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.

公开(公告)号：US10206591B2

公开(公告)日：2019-02-19

申请号：US13554694

申请日：2012-07-20

Applicant: Ivan Osorio ,  Alexey Lyubushin ,  Didier Sornette

Inventor： Ivan Osorio ,  Alexey Lyubushin ,  Didier Sornette

IPC: G01N33/50 ,  A61B5/0205 ,  A61B5/00 ,  A61B5/048 ,  A61B5/024 ,  A61B5/0476 ,  A61B5/04 ,  A61B5/08 ,  A61B5/11 ,  A61B5/083 ,  A61B5/145 ,  A61B5/16

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.