公开(公告)号：US10304568B2

公开(公告)日：2019-05-28

申请号：US15029301

申请日：2014-10-13

申请人： KAOSKEY PTY LIMITED

发明人： Dmitri Melkonyan

IPC分类号： A61B5/00 ,  A61B5/04 ,  G06K9/00 ,  G06F17/11 ,  G06F17/14 ,  G16H50/50 ,  G01R23/167 ,  G06F19/00

摘要： A method of signal processing and, in particular, a method of decomposing non-stationary signals representative of a physiological phenomenon into functional components, and to estimate parameters characterizing each of those functional components. The method utilises means for estimating dynamic and baseline trends in the time course of the signal, means for dividing the non-stationary signal into the segments over which the functional components are developed and means for compensating for overlap from QGK matched to preceding functional components to form an ECK. The compensation comprises means for transforming the ECK to a frequency domain, means for estimating the weight and dispersion parameters of the QGK, and validation of the parameter reliability, means for estimating the onset time of the QGK, means for expansion of the model of the non-stationary signal after each cycle of recursion, means for removal of unfavourable QGKs and rearrangement of remaining QGKs and means for creating partial models of the non-stationary signal with parameters belonging to predefined classes.

公开(公告)号：US20200275852A1

公开(公告)日：2020-09-03

申请号：US16643751

申请日：2018-08-28

申请人： KAOSKEY PTY LIMITED

发明人： Armen Sargsyan ,  Dmitriy Melkonian

IPC分类号： A61B5/048 ,  A61B5/00 ,  G16H50/20 ,  G16H50/30

摘要： A computer enabled method for analysing an electroencephalographic (EEG) waveform to detect the presence of a waveform indicative of an epileptic seizure. The method comprises the steps of, performing a time frequency analysis of the EEG waveform utilising a moving window to perform the analysis on a segment and calculating a power spectrum value of the analysed segment of the waveform to derive an index value. The calculated index value is utilised to determine the presence of a seizure. In a specific embodiment, the invention is directed to the detection of epileptic seizures in rats, mice and other rodents.

公开(公告)号：US20160224757A1

公开(公告)日：2016-08-04

申请号：US15029301

申请日：2014-10-13

申请人： KAOSKEY PTY LIMITED

发明人： Dmitri Melkonyan

IPC分类号： G06F19/00 ,  G06F17/11 ,  G01R23/167

CPC分类号： G16H50/50 ,  A61B5/04 ,  A61B5/7246 ,  A61B5/7253 ,  A61B5/7264 ,  G01R23/167 ,  G06F17/11 ,  G06F17/14 ,  G06F19/00 ,  G06K9/0055

摘要： A method of signal processing and, in particular, a method of decomposing non-stationary signals representative of a physiological phenomenon into functional components, and to estimate parameters characterizing each of those functional components. The method utilises means for estimating dynamic and baseline trends in the time course of the signal, means for dividing the non-stationary signal into the segments over which the functional components are developed and means for compensating for overlap from QGK matched to preceding functional components to form an ECK. The compensation comprises means for transforming the ECK to a frequency domain, means for estimating the weight and dispersion parameters of the QGK, and validation of the parameter reliability, means for estimating the onset time of the QGK, means for expansion of the model of the non-stationary signal after each cycle of recursion, means for removal of unfavourable QGKs and rearrangement of remaining QGKs and means for creating partial models of the non-stationary signal with parameters belonging to predefined classes.

摘要翻译： 一种信号处理的方法，特别是将代表生理现象的非平稳信号分解为功能组件的方法，以及估计表征每个功能组件的参数。 该方法利用用于估计信号时间过程中的动态和基线趋势的装置，用于将非平稳信号划分成功能组件所在的段的装置，以及用于补偿与先前功能组件匹配的QGK的重叠的装置 形成ECK。 该补偿包括用于将ECK转换到频域的装置，用于估计QGK的权重和色散参数的装置，以及参数可靠性的验证，用于估计QGK的起始时间的手段，用于扩展QGK的模型的装置 每个循环递归之后的非平稳信号，用于去除不利的QGK和重新排列剩余的QGK的装置以及用于创建具有属于预定类别的参数的非平稳信号的部分模型的装置。