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Sleep staging method and system based on nonlinear mutual dependency

An interdependent and sleep staging technology, applied in the field of sleep staging methods and systems based on nonlinear interdependence, can solve the problems of slow speed, low accuracy of sleep staging, poor EMG and OMG effects, etc. Timely, easy to obtain and monitor the effect

Pending Publication Date: 2022-04-26
SHANDONG NORMAL UNIV
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Among them, the effect of sleep staging based on EEG is the best, followed by electrocardiogram, and the effect of electromyography and oculoelectricity is poor.
However, the existing EEG-based sleep staging methods rely on prior assumptions, and the accuracy of sleep staging is not high and the speed is slow

Method used

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  • Sleep staging method and system based on nonlinear mutual dependency
  • Sleep staging method and system based on nonlinear mutual dependency
  • Sleep staging method and system based on nonlinear mutual dependency

Examples

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Embodiment 1

[0035] This embodiment provides a sleep staging method based on nonlinear interdependence, such as figure 1 As shown, it specifically includes the following steps:

[0036] Step 1. Obtain two kinds of EEG signals of the subject within a certain period of time: the first EEG signal X′={x′ n} and the second EEG signal Y'={y' n}, where n=1,...,N.

[0037] Specifically: (101) Obtain two kinds of EEG signals of the subject, wherein different EEG signals are obtained by using different EEG lead methods; assuming that there are two EEG lead methods x and y, the first EEG lead method is used The first EEG signal obtained by the connection method x, and the second EEG signal obtained by the second EEG lead method y; (102) segment each EEG signal to obtain the EEG signal in each period of time; Specifically, according to the R&K rule, each EEG signal is divided into 30 seconds as a segment, and the first EEG signal X'={x' in each period of time is obtained n} and the second EEG sign...

Embodiment 2

[0115] The present embodiment provides a sleep staging system based on nonlinear interdependence, which specifically includes the following modules:

[0116] The signal acquisition module is configured to: acquire two kinds of EEG signals of the subject within a certain period of time;

[0117] A feature extraction module, which is configured to: extract a variety of nonlinear interdependencies between the two EEG signals and a cross-correlation coefficient between the two EEG signals, and combine them into sleep features;

[0118] The classification module is configured to: use a classifier based on the sleep characteristics to obtain the sleep stage of the subject within this period of time.

[0119] It should be noted here that each module in this embodiment corresponds to each step in Embodiment 1, and the specific implementation process is the same, which will not be repeated here.

Embodiment 3

[0121] This embodiment provides a computer-readable storage medium, on which a computer program is stored. When the program is executed by a processor, the steps in the non-linear interdependence-based sleep staging method as described in the first embodiment above are realized. step.

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Abstract

The invention provides a sleep staging method and a sleep staging system based on nonlinear mutual dependency. The sleep staging method comprises the following steps: acquiring two electroencephalogram signals of a testee within a certain period of time; extracting a plurality of non-linear mutual dependence degrees between the two electroencephalogram signals and a cross correlation coefficient between the two electroencephalogram signals, and combining the non-linear mutual dependence degrees and the cross correlation coefficient into sleep features; and based on the sleep features, adopting a classifier to obtain the sleep stage of the testee in the period of time. Compared with a traditional linear method, more information can be provided, and the sleep staging accuracy is improved.

Description

technical field [0001] The invention belongs to the technical field of EEG signal processing, and in particular relates to a sleep staging method and system based on nonlinear interdependence. Background technique [0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art. [0003] Detecting and evaluating sleep quality has important clinical significance and practical application value, and sleep state analysis is an important basis for evaluating sleep quality. In the 1930s, German psychiatrist Berger discovered that people's electroencephalogram (EEG) activity presents different rhythms during sleep and waking periods. In 1968, the R&K sleep staging standard was proposed, which divides the sleep process into wakefulness (W), rapid eye movement (rapid eye movement, REM) and non-rapid eye movement (non-rapid eye movement, NREM). Among them, The non-rapid eye movement period is ...

Claims

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Application Information

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IPC IPC(8): A61B5/00A61B5/369
CPCA61B5/4812A61B5/7267A61B5/369
Inventor 袁琦周嘉正
Owner SHANDONG NORMAL UNIV
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