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A sleep automatic staging method, system, medium and electronic equipment

A sleep and automatic technology, applied in the field of sleep staging, can solve the problems of easy misjudgment, inability to achieve sleep staging, poor results, etc., and achieve the effect of improving accuracy

Active Publication Date: 2022-06-24
SHANDONG NORMAL UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Manual judgment needs to be done through visual analysis by sleep experts, which is inefficient and prone to misjudgment; computer-aided staging is the use of modern signal processing technology to automatically stage sleep, which is efficient and objective, and is the main method of modern sleep staging research. It is also a challenge for the future, but the current computer-aided staging results are poor and cannot achieve high-precision sleep staging

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  • A sleep automatic staging method, system, medium and electronic equipment
  • A sleep automatic staging method, system, medium and electronic equipment

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Experimental program
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Effect test

Embodiment 1

[0027] The sleep EEG automatic staging system belongs to the pattern recognition system, and its general process is "signal acquisition-preprocessing-feature extraction and selection-pattern recognition classification-result output", in which feature extraction and selection, pattern recognition and classification are two key steps.

[0028] To perform sleep staging, the first thing to do is to extract the features of the signal. Signals are generally represented by time as an independent variable, which can be decomposed into different frequency components through Fourier transform. In stationary signal analysis, time and frequency are two very important variables. Fourier transform and its inverse transform establish the mapping relationship between signal frequency domain and time domain.

[0029] The frequency domain representation of the signal based on Fourier transform and the frequency domain distribution of its energy reveal the characteristics of the signal in the fr...

Embodiment 3

[0081] Embodiment 3 of the present disclosure provides a medium on which a program is stored, and when the program is executed by a processor, implements the steps in the automatic sleep staging method described in Embodiment 1 of the present disclosure.

Embodiment 4

[0083] Embodiment 4 of the present disclosure provides an electronic device, including a memory, a processor, and a program stored in the memory and running on the processor. When the processor executes the program, the implementation is as described in Embodiment 1 of the present disclosure. Steps in the automated sleep staging method.

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Abstract

The present disclosure provides a method, system, medium and electronic equipment for automatic sleep staging, and relates to the technical field of sleep staging. The technical problem to be solved is that high-precision sleep staging cannot be achieved in the prior art; the specific solution is: to obtain EEG data, After data preprocessing, it is converted into a frequency domain signal; using the trained GoogLeNet neural network, the preprocessed frequency domain signal is used as input to obtain training sample data; using the training sample data and real-time collected EEG data as input, the SRC The classification algorithm obtains sleep classification results; the disclosure combines the GoogLeNet neural network and the SRC algorithm, and uses the output of the GoogLeNet neural network as the input of the SRC algorithm, which greatly improves the accuracy of automatic sleep staging.

Description

technical field [0001] The present disclosure relates to the technical field of sleep staging, and in particular, to a method, system, medium and electronic device for automatic sleep staging. Background technique [0002] The statements in this section merely provide background related to the present disclosure and do not necessarily constitute prior art. [0003] Sleep is very important to people's physical and mental health. With the high incidence of sleep disorders, sleep problems have attracted more and more attention. Sleep staging is the basis for studying sleep and related diseases, and it is also the premise for completing sleep quality assessment, which has important clinical significance. Sleep research has always been a hot topic. At present, the methods commonly used in clinical sleep staging include artificial discrimination, but it has the disadvantage of being too inefficient; the psychological scale method has the disadvantage of being too subjective. Phys...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/369A61B5/00
CPCA61B5/4809A61B5/4812A61B5/4815A61B5/7267A61B5/7257A61B5/369
Inventor 袁琦秦鹏
Owner SHANDONG NORMAL UNIV