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Automatic quantitative analysis method and device for epilepsy model electrophysiological signals

A technology for quantitative analysis of electrophysiological signals, applied in the field of automatic identification and quantitative analysis algorithms, can solve the problems of manual analysis experience and manpower dependence, and achieve the effect of rapid and accurate drug efficacy evaluation and accurate evaluation

Active Publication Date: 2021-03-30
SUZHOU SMK GENE TECH LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] The purpose of the present invention is to provide an automatic quantitative analysis method for epilepsy model electrophysiological signals, which is used to solve the technical problem of manual analysis relying on experience and manpower

Method used

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  • Automatic quantitative analysis method and device for epilepsy model electrophysiological signals
  • Automatic quantitative analysis method and device for epilepsy model electrophysiological signals
  • Automatic quantitative analysis method and device for epilepsy model electrophysiological signals

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Experimental program
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Embodiment 1

[0048] The above scheme combines sliding window and binning technology to process time-series brainwave signals to obtain reliable first interval number N and duration T of the first interval, which are used to form the training data of the neural network.

[0049] Then use multiple epilepsy-related features in the brain wave signal as the input of the neural network training data, and form the training data together with the number N of the first interval and the duration T of the first interval to complete the training of the neural network, so that the neural network Be able to prepare for processing this type of signal.

[0050] In the above process, in the process of obtaining the training data, high and low pass filters are used for denoising. Specifically, in the embodiment of the present invention, the high pass filter is set to 0.1 Hz, and the low pass filter is set to 5000 Hz , the notch filter is set to 50-60Hz.

[0051] The first data is time series data, so the mov...

Embodiment 2

[0063] An automatic quantitative analysis device for electrophysiological signals of epilepsy models, including

[0064] The first obtaining module is used to obtain the training set, which is the parameters of the epilepsy model neurophysiologically recorded data, including the total duration, signal-to-noise ratio, background signal average, sampling frequency, absolute height of spike / sharp wave Mean value, mean value of the width of spike / sharp wave, mean value of first-order difference difference of spike / sharp wave, mean value of slope of spike / sharp wave, number of first intervals N, and duration T of the first interval;

[0065] The first building block is to construct a neural network, and the input terminals of the neural network respectively represent the total duration, signal-to-noise ratio, mean value of background signal, sampling frequency, absolute height mean value of spike wave / sharp wave, and width mean value of spike wave / sharp wave , the mean value of the...

Embodiment 3

[0074] Based on the same inventive concept as an automatic quantitative analysis method for epilepsy model electrophysiological signals in the foregoing embodiments, the present invention also provides an exemplary electronic device, an automatic quantitative analysis device for epilepsy model electrophysiological signals, including memory, A processor and a computer program stored on the memory and operable on the processor, the processor implements the steps of the automatic quantitative analysis method for the electrophysiological signal of the epilepsy model when executing the program.

[0075] The above-mentioned one or more technical solutions in the embodiments of the present application have at least one or more of the following technical effects: the electrophysiological signals of the epilepsy model can be evaluated quickly and accurately, which is basically consistent with the results of manual evaluation, and can be highly Throughput antiepileptic drug screening pro...

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Abstract

The invention provides an automatic quantitative analysis method for epileptic model electrophysiological signals, which comprises the following steps of: taking a characteristic value of data of epileptic model neural electrophysiological records as the input of a neural network, and taking a first interval number N and a first interval duration T obtained by a sliding window and a binning algorithm as the output of the neural network; calculating the number and duration of epilepsy through a neural network algorithm to replace manual judgment. According to the method, the electrophysiological signals of the epilepsy model can be evaluated quickly and accurately, the evaluation result is basically consistent with the result of manual evaluation, and quick and accurate efficacy evaluationcan be provided for high-throughput anti-epileptic drug screening.

Description

technical field [0001] The invention relates to the field of electrophysiological signal analysis of epilepsy, in particular to an algorithm for automatic identification and quantitative analysis of electrophysiological signals of in vivo and in vitro models of epilepsy. Background technique [0002] At present, in vitro and in vivo models of epilepsy based on brain slices and zebrafish are widely used in the study of epilepsy pathological mechanisms and the screening of antiepileptic drugs. Electrophysiological signals are the gold standard for evaluating the occurrence of epilepsy and the effectiveness of drug intervention. [0003] High-throughput drug screening involves massive electrophysiological data processing and analysis, and manual analysis requires analysts to have sufficient experience in epilepsy electrophysiological signal recognition, and to manually measure the frequency and duration of epileptic events, which is time-consuming and laborious, and based on Th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/00A61B5/372G06N3/02G06N3/08
CPCA61B5/4094A61B5/4848A61B5/7235A61B5/7282G06N3/02G06N3/08A61B2503/40A61B2503/42
Inventor 刘静梁萌萌余伟师王小冬刘乐叶鑫
Owner SUZHOU SMK GENE TECH LTD
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