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EEG signal monitoring processing method

A technology of EEG signal and processing method, which is applied in the field of EEG signal to achieve the effect of accurate data support and perfect processing

Inactive Publication Date: 2017-07-14
ZHEJIANG PEARLCARE MEDICAL TECH
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[0004] After searching, it was found that the Chinese patent application 03137747.5 uses nonlinear dynamics method to process EEG signals, and mainly uses the combination of correlation number, complexity and approximate entropy to give a nonlinear index for real-time EEG signal monitoring , but still for the processing of EEG signals, it is still necessary to further subdivide the various states of EEG signals

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  • EEG signal monitoring processing method
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Embodiment Construction

[0040] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0041] figure 1 It is a working flow chart of the present invention. Patients in this example need to meet the following conditions:

[0042] 1. Over 18 years old;

[0043] 2. No mental illness;

[0044] 3. Non-craniofacial surgery;

[0045] 4. The main anesthetic drug used is propofol.

[0046] General changes in EEG under propofol anesthesia are as follows: image 3 Shown:

[0047] As the depth of anesthesia deepened, the complexity gradually decreased, and the frequency first increased and then decreased. from image 3 It can be seen in the figure that the decrease rate of complexity is obvious when awake to light anesthesia, and after the moderate anesthesia period, with the deepening of anesthesia, the change of frequency is more obvious than the complexity.

[0048] Step 1: The first step is to collect EEG signals, which are gener...

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Abstract

The invention discloses an EEG signal monitoring processing method comprising the following steps: 101, obtaining a jam-free EEG signal; 102, obtaining a frequency domain index according to the EEG signal in step 101; 103, obtaining a complexity index according to the EEG signal in step 101; 104, obtaining a burst inhibition index according to the EEG signal in step 101. The method can further improve the EEG signal treatment, and can reasonably determine the obtained brain status, thus providing more accurate data supports.

Description

technical field [0001] The invention relates to the field of electroencephalogram signals, in particular to a method for monitoring and processing electroencephalogram signals. [0002] technical background [0003] In recent years, more and more nonlinear dynamical methods have been applied to the analysis of EEG signals. Among them, the most widely used is the entropy index or complexity index, including spectral entropy, approximate entropy, sample entropy, LZ complexity, etc. Studies have shown that approximate entropy, sample entropy, and LZ complexity have good sensitivity and specificity to changes in anesthesia depth. [0004] After searching, it was found that the Chinese patent application 03137747.5 uses nonlinear dynamics method to process EEG signals, and mainly uses the combination of correlation number, complexity and approximate entropy to give a nonlinear index for real-time EEG signal monitoring , but still for the processing of EEG signals, it is still ne...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/00
CPCA61B5/4821A61B5/72A61B5/7203A61B5/7264A61B5/369
Inventor 珠淮刘军
Owner ZHEJIANG PEARLCARE MEDICAL TECH
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