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Brainwave analysis method and system

An analysis method and analysis system technology, applied in the fields of medical science, diagnosis, medical informatics, etc., can solve the problem of inability to accurately divide the various sleep stages of the human body, and achieve the effect of preserving volatility

Active Publication Date: 2019-04-05
TSINGHUA UNIV
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Problems solved by technology

[0004] Based on this, it is necessary to provide a brain wave analysis method and system for the problem that the traditional analysis method of brain wave cannot accurately divide the sleep stages of the human body, wherein the method includes:

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  • Brainwave analysis method and system
  • Brainwave analysis method and system

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Embodiment Construction

[0052] In order to make the objectives, technical solutions, and advantages of the present invention clearer, the following further describes the present invention in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, but not to limit the present invention.

[0053] figure 1 Is a schematic flow chart of the brainwave analysis method in an embodiment, such as figure 1 The brain wave analysis methods shown include:

[0054] Step S100, obtain the original brain wave sequence.

[0055] Specifically, the original brain wave sequence, for example image 3 As shown, image 3 It is the original trend chart of the brain waves in the REM period, which has large data fluctuations and diverse frequency components, and it is impossible to directly analyze the required brain wave dynamic fluctuation information, which is used to describe the dynamic changes of the h...

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Abstract

The invention relates to a brain wave analysis method and system. The method comprises the steps of obtaining an original brain wave sequence; determining scales according to preset scale interval and scale step length of the original brain wave sequence; calculating coarse-grained high-order moment brain wave sequences at various scales according to the scales, the original brain wave sequence and a preset high-order moment order, wherein the preset high-order moment order is greater than 2; calculating a high-order moment brain wave information entropies at various scales according to the coarse-grained high-order moment brain wave sequences under various scales and a high-order moment information entropy algorithm and obtaining a multi-scale high-order moment information entropy set of the original brain wave; and determining dynamic change information of the original brain wave sequence according to the multi-scale high-order moment information entropy set. According to the brain wave analysis method and device, the problem of overlarge volatility loss in the sequence coarse graining process caused by a mean value calculation method in a traditional brain wave analysis method is solved.

Description

Technical field [0001] The invention relates to the technical field of sleep analysis, in particular to a brain wave analysis method and system. Background technique [0002] High-quality sleep can ensure the good operation of daily life, such as mental health, creativity and work performance. Insufficient or ineffective sleep can cause daytime sleepiness, irritability, emotional distress, depression or anxiety, and even increase the accident rate. . EEG represents the rich information of brain activity. Sleep / wake is divided into three stages: wakefulness, non-rapid eye movement sleep and rapid eye movement sleep. It is important to understand the structural changes of sleep during the sleep cycle. [0003] However, due to the highly complex characteristics of EEG signals, both the amplitude and frequency of the signal exhibit non-linear and non-stationary patterns. It is a challenge to determine each sleep stage in the field of sleep research. In traditional EEG algorithms, EEG...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G16H50/20A61B5/00
CPCA61B5/4812G16H50/20
Inventor 史文彬叶建宏洪阳朱仪芳
Owner TSINGHUA UNIV
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